TaskBot Challenge Rules

Please review the rules before taking part in the challenge.

The Alexa Prize TaskBot Challenge (the “Competition”) is a skill competition sponsored by Amazon.com Services LLC (“Sponsor”), in which competing teams of college or university students each build an Alexa skill using the Alexa Skills Kit APIs (“TaskBots”) for use in the United States that assists Alexa users in accomplishing tasks related to cooking and do-it-yourself (“DIY”) projects via Amazon Alexa.

Selected teams will have the opportunity to participate in the Competition, and final results will be announced in September 2023. See below for the Competition details.

By applying to or participating in the Competition, you agree to these Official Rules. Please read them carefully.

COMPETITION CALENDAR

Applications to participate in the Competition can be submitted starting September 2022. After participating teams are selected, the Competition will run from January 2023 through September 2023 (the “Competition Period”). The Competition phases are noted in the calendar below. The dates are approximate and are subject to change at Sponsor’s discretion.

PHASES
STARTS ON:
ENDS ON:
PHASE 1: Participant Application Period
September 22, 2022
November 4, 2022
PHASE 2: Sponsor Application Review Period
November 7, 2022
November 18, 2022
PHASE 3: Participant Notification Period and Onboarding
November 21, 2022
January 6, 2023
BOOT CAMP
January 11, 2023
January 13, 2023
PHASE 4: Initial Skills Development Period
January 9, 2023
March 10, 2023
PHASE 5: Skill Certification Period
March 13, 2023
March 24, 2023
PHASE 6: Internal Amazon Beta Period
March 28, 2023
April 28, 2023
PHASE 7: Initial Feedback Period
May 2, 2023
June 9, 2023
PHASE 8: Semifinals Interaction Period
June 13, 2023
July 28, 2023
PHASE 9: Additional Feedback Period
August 8, 2023
September 1, 2023
PHASE 10: Finals Event
September 11, 2023
September 14, 2023
WINNERS ANNOUNCED
September 2023

TASKBOT CHALLENGE 2 OVERVIEW

The Alexa Prize TaskBot Challenge 2 invites university teams to compete to develop agents that assist customers in completing Cooking and DIY tasks by incorporating multimodal (voice and screen) conversational interface with an AI agent. The challenge incorporates screen-based interaction into the conversational experience, so in addition to receiving verbal instructions, customers with Echo screen devices could also be presented with step-by-step instructions, images, or diagrams that enhance task guidance. Success in the challenge will require participants to advance the state of the art in conversational AI, and address difficult science challenges related to knowledge representation and inference, commonsense and causal reasoning, and language understanding and generation, and integrating voice-based and screen-based interaction, requiring synthesis of multiple areas and approaches to conversational AI.

ELIGIBILITY

To be eligible to participate in the Competition, you must: (1) be enrolled as a full-time undergraduate or post-graduate student in good standing at an accredited college or university (other than colleges or universities located in any of the Restricted Jurisdictions outlined below) (“Universities”) at the time of entry and during the entire course of your participation in the Competition; (2) be at or above the age of majority in your country, state, province or jurisdiction of residence at the time of entry; and (3) not be a person or entity under U.S. export controls or sanctions. Competition is void in Cuba, Iran, Syria, North Korea, Sudan, the region of Crimea, and where prohibited by law (“Restricted Jurisdictions”). People who, during the Competition Period, are directors, officers, employees, interns, or contractors (“Personnel”) of Sponsor, its parents, subsidiaries, affiliates, or their respective advertising, promotion and public relations agencies, representatives, or agents (collectively, “Competition Entities”), immediate families members of such Personnel (parents, siblings, children, spouses, and life partners of each) or members of the households of such Personnel (whether related or not) are ineligible to participate in this Competition. Sponsor reserves the right to verify eligibility, disqualify ineligible participants, and adjudicate on any dispute at any time.

Entrants (“Entrants”) must enter as part of an “Entrant Team” consisting of one or more students from a single University. An Entrant must be part of only one Entrant Team. Any Entrant that is part of more than one Entrant Team, and any corresponding Entrant Team, may be disqualified at the sole discretion of Sponsor. Only one member of the Entrant Team may submit an application on behalf of an Entrant Team but all those listed on the application are Entrants. All prize money payable to Entrant Teams will be split evenly among the Entrants of a winning Entrant Team (based on the pre-tax amount of prize money), as identified in the application, as updated as permitted by these Official Rules, who maintain eligibility (including full-time student status in good standing at their University) during the entire course of their participation in the Competition, and who continue to participate in the Competition until any one of the following events occurs: (1) until the end of the Competition Period, (2) if they graduate in May 2023 or later, until their graduation from their University, or (3) if they accept an internship for the summer of 2023 that renders them ineligible to continue to participate, until the start of that internship.

Each team must select a faculty advisor who, with respect to that team, will act as the official representative for the Entrant Team’s University (the “Faculty Advisor”). Each Entrant Team must have its own Faculty Advisor; no Faculty Advisor may represent more than one team. Faculty Advisors are not members of the Entrant Team and will not receive any portion of any prize. Faculty Advisors must remain full time employees of the Entrant Team University during the entire Competition Period. During the Competition Period, but no later than the end of the Initial Feedback Period, the Faculty Advisor may request to remove members from the Entrant Team or to add additional members to the Entrant Team. The Faculty Advisor must provide, an explanation of the reason for the removal or addition, and any proposed new member must provide any documentation requested by Sponsor and agree to comply with these Official Rules. Changes to the Entrant Team are subject to Sponsor’s approval in its sole discretion. If at any point during the Competition Period the Entrant Team’s Faculty Advisor cannot continue to serve as a Faculty Advisor, the Entrant Team may submit a request to Sponsor to select a new Faculty Advisor. Changes to the Entrant Team’s Faculty Advisor are subject to Sponsor’s approval in its sole discretion. If an Entrant Team fails to have a Faculty Advisor at any point in time during the Competition Period for any reason, the Entrant Team may be disqualified.

Each Entrant must be eligible to participate in this Competition and comply with these Official Rules or the Entrant, and the Entrant Team associated with that Entrant, may be disqualified. This Competition is subject to all applicable federal, state, territorial, provincial, and local laws. Competition is void where prohibited. By participating in the Competition, all Entrants accept and agree to comply with and abide by these Official Rules and the decisions of the Sponsor which will be final and binding, including the Sponsor’s right to verify eligibility, to interpret these Official Rules, and to resolve any disputes relating to this Competition at any time. Only Entrants may work on the TaskBot, although members of the Alexa team may provide support to the Entrant Team during the Competition Period, and the Faculty Advisor, and other students and faculty members at an Entrant Team’s University may provide support and advice to the Entrant Team and may co-author the Technical Article (as defined below) or other research papers.

ADDITIONAL REQUIREMENTS

As part of the Competition, Entrant Teams must submit their TaskBots via Sponsor’s Developer Portal, and in doing so must agree to the Amazon Developer Services Agreement (“Developer Agreement”). TaskBots must comply with the terms applicable to “Alexa Skills” in the Developer Agreement, including the content guidelines and all other Program Policies (as defined in the Developer Agreement). TaskBots that cause any harm, as determined by Sponsor in its sole discretion, will be disqualified from the Competition. Questionable or controversial designs or content must be cleared with Sponsor prior to being deployed in a TaskBot. All TaskBots must interact with users using only the English language. TaskBots may not request any personal data or personally identifiable information from Alexa users. All Entrant Teams must host their TaskBots using Amazon Web Services (“AWS”) Lambda, and in doing so must agree to the terms of the AWS Customer Agreement. However, Entrant Teams may use other frameworks or web services to build their TaskBot, and TaskBots may make external calls to other services during run-time execution, so long as no confidential information of Sponsor and no Alexa user interaction data is shared with any third party.

TaskBots are responsible for verifying that the requested tasks are within the supported domains (“Supported Tasks”). TaskBots must decline tasks that could cause harm to users or their property and stop the interaction after requests for any such tasks. Sponsor may audit TaskBots for compliance with this requirement. If a task is accepted as a Supported Task, a TaskBot should interactively assist the user to complete the task, potentially across multiple sessions, and help the user to resume a paused task as needed.

During all phases of the Competition, Sponsor may in its sole discretion require Entrant Teams to provide periodic status updates, reports, or demonstrations of the TaskBots. Sponsor may also require Entrant Teams to comply with additional rules, requirements, or procedures that Sponsor determines, in its sole discretion, are necessary for the administration of the Competition. Sponsor may in its sole discretion penalize teams for noncompliance with any rules, requirements, or procedures, including by disqualification from the Competition.

Sponsor may in its sole discretion require all TaskBots to adhere to requirements designed to ensure that TaskBots are focused on the goal of advancing the science of conversational artificial intelligence, and to ensure a positive experience for Alexa customers using the TaskBot. Sponsor may determine any appropriate penalties for noncompliance with those requirements, including temporary suspension of the TaskBot, disregarding ratings for interactions that are non-compliant with such policies, or disqualification from the Competition.

Sponsor may provide Entrants selected to participate in the Competition access to software, software development kits, libraries, APIs, documentation, sample code, templates, data sets, and related materials (“Program Materials”) that may be used in connection with the Competition. If an Entrant uses any Program Materials, the Entrant is subject to and agrees to comply with Sponsor’s Program Materials License Agreement. Program Materials may include APIs, data sets, and other materials that are not public (“Non-Public Materials”). Each Entrant Team whose TaskBots are made available through the Alexa service will receive automatic speech recognition text transcriptions and other data (e.g., confidence scores) relating to Alexa user interactions with the Entrant Team’s TaskBot (“Interaction Data”).

Each Entrant and Faculty Advisor agrees that they will not disclose, distribute, or otherwise make available any Non-Public Materials or Interaction Data to anyone other than other Entrants of their Entrant Team and the Entrant Team’s Faculty Advisor. Each Entrant (and each Faculty Advisor) agrees that they will use Non-Public Materials and Interaction Data only in connection with the development and operation of (a) a TaskBot as part of the Competition and in compliance with these Official Rules and (b) following the completion of the Competition Period, a TaskBot or related bot operating as a stand-alone Alexa skill. Entrants (and Faculty Advisors) may not use Non-Public Materials or Interaction Data for any other purpose. Prior to the conclusion of the Competition Period, Entrants may not publish their TaskBot as a stand-alone Alexa Skill or use the Non-Public Materials or Interaction Data to operate the TaskBot as a stand-alone Alexa Skill or in connection with other Alexa skills. Entrants (and Faculty Advisors) must return or destroy all Non-Public Materials and Interaction Data (in any form and including, without limitation, all summaries, copies and excerpts of the same) promptly following any request from Sponsor, or if the Entrant Team discontinues the development or operation of its TaskBot. If any Entrant or Faculty Advisor is disqualified from the Competition, leaves the University, or otherwise terminates their participation in the Competition, that individual must immediately return or destroy all Non-Public Materials and Interaction Data in their possession. Sponsor reserves the right in its sole discretion to impose additional terms and conditions on the use of Program Materials, and to condition access to Program Materials on Entrants’ agreement to those terms and conditions.

DESCRIPTION OF COMPETITION PHASES

PHASE 1 “Participant Application Period”: Before the end of the Participant Application Period, the leader of each Entrant Team that wishes to enter the Competition may visit https://www.amazon.science/alexa-prize (the “Competition Site”) to submit their entry information via the YouNoodle, Inc. (“YouNoodle”) application portal, including, but not limited to: complete names, contact information, and resumes of all Entrant Team members, proof of University enrolled status (e.g., verification of enrollment or an uploaded copy of Entrants’ student IDs), name and contact information of a sponsoring Faculty Advisor from the Entrant Team’s University, and a bio for each Entrant Team member.

Each Entrant Team will be required to answer the following questions:

  1. What is your team’s vision for your TaskBot? How would your TaskBot help customers accomplish their tasks?
  2. How will your team measure success in the Competition?
  3. Please share sample interactions you expect your TaskBot to achieve by the end of the Competition for each of the Competition’s two domains (Cooking and DIY).
  4. Describe, in detail, your scientific approach along with the related system architecture. Plan for operating at scale when you define the architecture. (2 page PDF structured as a technical paper and architecture diagram with 1 additional page for visual or text explanation of key components and data flow).
  5. What is novel about the team’s approach? (This may be completely new approach or novel synthesis or extension of existing techniques).
  6. What are the top three technical challenges/risks in your approach and how do you plan to address them?
  7. How do you think your work will impact the field of AI?
  8. How will your TaskBot leverage multimodal interaction (e.g. speech combined with graphical output) in order to provide an engaging and effective experience for the customer?
  9. Please attach an overview of the primary roles, subject matter expertise, and focus/specialty of each of your team members. (1 page)
  10. Please provide a summary of the technical work/research (relevant to your proposed architecture), yours or others’, that you will leverage and how.

Entry Applications may be submitted at any time during the Participant Application Period. Only one individual per Entrant Team may submit an Entry Application on behalf of their Entrant Team. Other members of the Entrant Team must accept the invitation to join the team via the YouNoodle application portal. All Entrants must create an account with YouNoodle if they have not done so already in order to submit an Entry Application or accept an invitation to join an Entrant Team and participate in the Competition. Creating and maintaining a YouNoodle account is free of charge. All Entry Applications must be complete when the Participant Application Period closes at 11:59 pm Pacific Time on the last day of the Participant Application Period. Entry Applications are not complete until all the online prompts and instructions to upload the Entry Application have been properly followed, the Official Rules have been accepted, and all Entrant Team members and the Faculty Advisor have accepted their invitations to join the Entrant Team via the YouNoodle application portal. Entry Applications may not be revised once submitted. Once submitted, Entry Applications will not be returned and become the property of the Sponsor.

Entry Terms: Determination of eligibility and compliance with these Official Rules and any other requirements imposed by Sponsor will be in the sole discretion of the Sponsor. By entering, Entrants represent that all information and materials submitted to Sponsor in connection with the Competition:

  1. are the original work of the Entrant Team or an update to an original work of the Entrant Team;
  2. do not infringe or violate the rights of any third party, including but not limited to copyrights, trademarks or copyrighted material not owned by the Entrant Team, contract and licensing rights, rights of publicity or privacy, moral rights, or any other intellectual property rights; and
  3. are not subject to any third-party agreements, and that Sponsor will not be required to pay or incur any sums to any person or entity as a result of its exercise of any rights granted under these Official Rules.

PHASE 2 “Sponsor Application Review Period”: All eligible Entry Applications will be reviewed by the Sponsor. Sponsor will select up to ten Entrant Teams to participate in the Competition in its sole discretion, including based on the following criteria:

  • The potential scientific contribution to the field;
  • The technical merit of the approach;
  • The novelty of the idea, including innovative ideas on improving the presentation and coordinating visual and verbal modalities; and
  • An assessment of the Entrant Team’s ability to execute against their plan.

PHASE 3 “Participant Notification Period”: Entrant Teams selected by Sponsor to participate in the Competition will be notified by email at the email address provided at time of Entry Application. Entrant Teams acknowledge that some Entrant Teams may include Entrants and Faculty Advisors who participated in prior iterations of the Alexa Prize competition.

Stipends: Each Entrant Team selected to participate in the Initial Skills Development Period will be eligible to receive a restricted research grant of $250,000 U.S. dollars (paid in any number of installments as determined by Sponsor in its sole discretion, subject to Entrant Team’s continued participation in and eligibility for the Competition), which will be paid to the Universities of the selected Entrant Teams in the form of restricted research grants. These grants will be awarded to the Universities and not the Entrant Teams or any individual Entrant, and will be subject to the University signing and returning any agreements or other documents required by Sponsor (including IRS forms W-9 and/or W-8) and to the University agreeing in writing that no more than 35% of the research grants may be allocated to administrative fees. Entrant Teams will not be eligible to begin participating in the Competition until all required agreements and other documentation have been completed by the University. The grants are intended to support two full-time students or the equivalent of two full-time students during the Competition and one month of the Faculty Advisor’s salary. Each University will be responsible for allocating and managing the funds within these guidelines and for payment and reporting of any required taxes, withholdings, fees, or duties. Sponsor is not responsible for managing the funds, including their allocation or distribution by the University, after they are paid to the University. Each member of an Entrant Team whose University receives a stipend award, and its Faculty Advisor, will also receive Alexa-enabled devices (up to a maximum of four devices per Entrant Team, including the device provided to the Faculty Advisor), free AWS services to support the development of their TaskBot (subject to reasonable limitations set by Sponsor), and support from the Alexa team as determined by Sponsor.

Stipends are non-transferable except as directed by Sponsor. No stipend substitutions or cash redemptions are allowed except as designated by Sponsor. Except where prohibited by law, all federal, state, provincial, or other tax liabilities or withholdings are the responsibility of the University and the Sponsor will not be responsible for any tax deductions which may be necessary, except that Sponsor may withhold taxes as required by law. Universities are responsible for any costs and expenses associated with stipend acceptance and use. If an Entrant Team withdraws from the Competition or does not remain compliant with these Official Rules, Sponsor will be relieved of any obligation to pay any remaining portion of the stipend to the Entrant Team’s University. All details relating to the stipend not specified herein shall be determined solely by Sponsor.

BOOT CAMP: Entrant Teams may be invited to a Boot Camp at Sponsor’s headquarters in Seattle, Washington, or another location determined by Sponsor. Any travel expense subsidies provided by Sponsor may be subject to tax information reporting and withholding to the extent required by law. Attendance at the Boot Camp is not required and will not affect an Entrant Team’s opportunity to win. Sponsor may also elect to hold the Boot Camp virtually, in which case Entrant Teams will not receive any travel expense subsidies.

PHASE 4 “Initial Skills Development Period”: Entrant Teams will develop their TaskBots. If an Entrant Team includes any Entrants or a Faculty Advisor from a team that participated in a prior Alexa Prize competition (a “Prior Year Team”), the Entrant Team may utilize and incorporate any concepts, works, inventions, information, designs, programs, or software created by the pertinent Prior Year Team, provided that the Entrant Team has obtained in writing all necessary rights, licenses, and permissions to do so, including all rights, licenses, and permissions that are necessary to distribute the TaskBot and to grant the licenses set forth in these Official Rules and in the Developer Agreement. Any Entrant Team may incorporate concepts, works, inventions, information, or designs described by any Prior Year Team in its published technical articles. Entrant Teams must submit their TaskBot to Sponsor for certification no later than 11:59 pm Pacific Time on the last day of the Initial Skills Development Period.

PHASE 5 “Skill Certification Period”: Entrant Teams must revise their TaskBots in response to feedback from Sponsor to ensure that their skills are certified prior to being made available to users of the Alexa service. TaskBots must pass certification in order to be eligible to participate in a closed beta program to employees of Sponsor (the “Beta Program”).

PHASE 6 “Internal Amazon Beta Period”: TaskBots that have passed certification will be made available to employees of Sponsor via the Beta Program. Each TaskBot’s Interaction Ratings (as defined below) collected through the Beta Program will be provided to the Entrant Team. Entrant Teams may continue to improve their TaskBots throughout the Internal Amazon Beta Period. Sponsor may impose criteria, including but not limited to a minimum mean Interaction Rating, uptime requirements, and ability to filter offensive content (the “Availability Criteria”), that a TaskBot must meet in order to exit the Beta Program and be made available to users of the Alexa service through an Alexa Skill that allows users to interact with TaskBots (the “Alexa Prize Skill”).

PHASE 7 “Initial Feedback Period”: TaskBots that have passed certification and met all Availability Criteria will be made available to Alexa users through the Alexa Prize Skill, as described below. Sponsor may require TaskBots that have not met the Availability Criteria to remain in the Beta Program, and may set deadlines by which all TaskBots must meet the Availability Criteria in order to continue participating in the Competition. Additionally, Sponsor may condition a TaskBot’s inclusion in the Alexa Prize Skill and availability to Alexa users on that TaskBot continuing to meet the Availability Criteria. Each TaskBot’s Interaction Ratings (as defined below) collected during the Initial Feedback Period will be provided to the Entrant Team. Entrant Teams may continue to improve their TaskBots throughout the Initial Feedback Period. Sponsor may impose criteria, including, but not limited to, a minimum mean Interaction Rating, uptime requirements, and ability to filter offensive content (the “Semifinals Criteria”), that a TaskBot must meet in order to exit the Initial Feedback Period.

The Alexa Prize Skill; Interaction Ratings: During the Internal Amazon Beta Period, the Initial Feedback Period, the Semifinals Interaction Period, and the Additional Feedback Period, Sponsor may allow Alexa users to invoke the Alexa Prize Skill by saying a specific invocation phrase, such as “Alexa, let’s work together.” In response, Alexa may direct the user to an Entrant Team’s TaskBot to interact with the user (without identifying to the user which Entrant Team’s TaskBot has been selected). After confirming that the requested task is a Supported Task, the TaskBot will either attempt to assist the user or decline the request. The user may converse with the TaskBot until the user ends the interaction.

At the end of the interaction, the user will be asked to rate the TaskBot on a scale of 1 to 5 based on the user’s satisfaction with the assistance provided by the TaskBot (the “Interaction Ratings”). After a user provides an Interaction Rating, the Alexa Prize Skill may allow the TaskBot to send to the user a summary or additional information if helpful to accomplish the task. Sponsor may determine in its sole discretion when and how frequently each TaskBot is made available to users and the method by which users invoke the Alexa Prize Skill. All TaskBots may not be selected to interact with users the same number of times. When calculating Interaction Ratings for any TaskBot and for any purpose, Sponsor may elect to disregard Interaction Ratings from Alexa users for the purpose of selecting a finalist TaskBot if (a) the number of Interaction Ratings for a TaskBot from the applicable Alexa user exceeds a limit determined by Sponsor in its sole discretion (in which case Interaction Ratings will be counted up to such limit), (b) Sponsor determines in its sole discretion that any individual has submitted Interaction Ratings using more than one customer account, (c) Sponsor determines in its sole discretion that the Interaction Ratings may have been generated by script, macro, bot, or other automated means, or (d) Sponsor determines in its sole discretion that inclusion of an Interaction Rating would reduce the integrity of the Interaction Ratings. Any Interaction Ratings disregarded by Sponsor will be void. Entrant Teams are prohibited from rating their own or any other TaskBot or from obtaining Interaction Ratings or user interactions by any fraudulent or inappropriate means, including, without limitation, paying for Interaction Ratings, agreeing to exchange Interaction Ratings with another person, offering prizes or other inducements to members of the public, using a script, macro, bot, or other automated means to generate user interactions or Interaction Ratings, or encouraging any other person or entity to engage in any of the foregoing, as determined by Sponsor in its sole discretion. Any attempt by an Entrant Team, any Entrant Team member or their family or friends, or any other individual to obtain Interaction Ratings or user interactions using any mechanism that violates these Official Rules, or any other kind of fraudulent or inappropriate means, as determined by Sponsor in its sole discretion, may result in disqualification.

PHASE 8 “Semifinals Interaction Period”: TaskBots that have met all Semifinals Criteria will be made available to Alexa users, who will interact with and rate eligible Semifinalist TaskBots through the Alexa Prize Skill. Entrant Teams may continue to improve their TaskBots throughout the Semifinals Interaction Period. Each Semifinalist TaskBot’s Interaction Ratings collected during the Semifinals Interaction Period may be provided to that Semifinalist TaskBot’s Entrant Team, as determined by Sponsor in its sole discretion. The average of the Interaction Ratings collected for a TaskBot during the Semifinals Interaction Period is the “Semifinals Interaction Rating Average.” At the conclusion of the Semifinals Interaction Period, the two Semifinalist TaskBots with the highest Semifinals Interaction Rating Average (with any ties broken by task completion rate as answered affirmatively by the customer) and up to three TaskBots (including TaskBots not selected as Semifinalist TaskBots) selected by Sponsor in its sole discretion based on Sponsor’s evaluation of their helpfulness, accuracy, usability, and scientific merit will proceed to the Additional Feedback Period and Finals Event as described below.

Leaders of finalist Entrant Teams will be notified of their preliminary selection to proceed to the Additional Feedback Period by email at the email address provided at time of Entry Application. All Entrants on potential finalist Entrant Teams will be required to complete and return an Affidavit of Eligibility and Publicity/Liability Release (where legal) and an Entrant Release Form and Affirmation that, among other things, affirms each Entrant’s agreement to these Official Rules, and may be subject to a Background Check Authorization Form and/or any other vetting process within the timeframe stated on the notification attempt or a runner-up potential finalist Entrant Team may be contacted, time permitting. Each finalist Entrant Team must also agree to maintain the TaskBot so that it is available to Alexa customers for at least six months following the public announcement of the winner of the Competition. If any email notification is returned as undeliverable, if a potential finalist Entrant Team does not respond within the required number of days specified by Sponsor, or if information collected within the clearance documentation, entry, or background check is found in non-compliance with these Official Rules or raises other issues of significant concern to Sponsor, or if a potential finalist Entrant Team or Entrant declines to proceed for any reason whatsoever, Sponsor shall have no further obligation to such potential finalist Entrant Team and a runner-up finalist Entrant Team selected by Sponsor in its sole discretion may be invited to participate in the finals, time permitting.

Disclosure of Third-Party Funding: If any Entrant Team receives any third-party funding to facilitate its participation in this Competition, such funding must be disclosed to Sponsor no later than the last date of the Semifinals Interaction Period, along with any requirements imposed on the Entrant Team in connection with the funding. Entrant Teams may not accept or use any third-party funding if acceptance or use of that funding, or any requirements imposed in connection with that funding, would conflict with these Official Rules.

Technical Publication: By no later than the last date of the Semifinals Interaction Period, all participating Entrant Teams must submit a technical article including (a) the technical approach for their TaskBot, and (b) any comparative experiments performed by the Entrant Team and results of those experiments (a “Technical Article”). Entrant Team’s Technical Article must include sufficient detail to permit other researchers to replicate the work. However, Technical Articles may not include any Non-Public Materials, Interaction Data, or other confidential information of Sponsor or its affiliates. If a Technical Article does not provide sufficient detail to replicate the work, Sponsor may require the Entrant Team to provide Sponsor any additional information needed to replicate the work. Sponsor will publish the Technical Articles. Prior to the publication, Sponsor will not disclose Technical Articles to third parties. Entrant Teams may update their Technical Articles prior to the Finals Event.

Entrants may publish other technical articles describing their work (“Additional Articles”), although Entrant Teams must obtain Sponsor’s written approval to submit Additional Articles for publication prior to Sponsor’s publication of the Technical Articles. Additional Articles may not include any Non-Public Materials, Interaction Data, or other confidential information of Sponsor or its affiliates. Entrants must submit any Additional Articles to Sponsor for review and comment at least two weeks prior to the submission deadline and must make, prior to publication, any changes or deletions requested by Sponsor to protect confidential or other sensitive information.

PHASE 9 “Additional Feedback Period”: The finalist TaskBots will be made available to Alexa users through the Alexa Prize Skill. Each finalist TaskBot’s Interaction Ratings collected during the Additional Feedback Period will be provided to that TaskBot’s Entrant Team. Entrant Teams may continue to develop their TaskBots throughout the Additional Feedback Period.

PHASE 10 “Finals Event”: Sponsor will hold a Finals Event that will be structured as follows: Sponsor will identify individuals who will engage with the TaskBots to complete tasks (the “Interactors”), and individuals that will judge the interactions between the TaskBots and Interactors (the “Judges”). The Interactors will request assistance from each of the finalist TaskBots. The Interactors will attempt to complete each Task assisted by each of the TaskBots. All or a portion of the Finals Event may be disseminated via Twitch.tv or other streaming, broadcast, or distribution services in Sponsor’s sole discretion, and Sponsor may in its sole discretion elect to permit live audience members and/or people viewing the broadcast to judge the interactions between the TaskBots and the Interactors (the “Audience Judges”).

Finalist Travel Expenses: Sponsor may elect to invite each finalist Entrant Team to the site of the Finals Event or an event announcing the winners of the Competition. Any travel expense subsidies provided by Sponsor may be subject to tax information reporting and withholding to the extent required by law.

Finals Judging Criteria: Each of the finalist TaskBots will interact with the same number of Interactors. While the interactions are taking place, Sponsor will not disclose to the Judges or to the Audience Judges (if applicable) which TaskBot an Interactor is interacting with. At the Finals Event, TaskBots must comply with all technical and operational requirements imposed by Sponsor.

Sponsor will communicate to the finalist Entrant Teams how tasks requests between the Interactors and the TaskBots will be initiated, the scope of these interactions, and how and when the interactions will be stopped. After the interaction has ended, each Judge will be asked to give the TaskBot one or more ratings on a scale of 1 to 5 based on factors such as helpfulness, accuracy, usability and overall task success (the “Finals Ratings”). If Sponsor elects to use Audience Judges, after the interaction has ended each Audience Judge will be asked to give the TaskBots one or more ratings on a scale of 1 to 5 based on the same factors (the “Audience Finals Ratings”).

Finals Scoring: Sponsor may in its sole discretion elect to use the Semifinals Interaction Rating Average as a component of the scoring in the Finals Event, and will communicate such election to the Entrant Teams. The composite score for each TaskBot will be determined based on the mean Finals Rating given by the Judges across the interactions with all Interactors, and, if applicable, the Semifinals Interaction Rating Average and the mean Audience Finals Ratings given by the Audience Judges across the interactions with all Interactors (the “Composite Score”). In the calculation of the Composite Score, if Sponsor elects to use the Semifinals Interaction Rating Average, it will be given the weight equivalent to the Finals Rating given by a single Judge; and if Sponsor elects to use Audience Judges, the mean Audience Finals Ratings will be given the same weight as the Finals Rating given by a single Judge. Sponsor may disregard a round of Finals Ratings or Audience Finals Ratings if Sponsor determines in its sole discretion that a technical or procedural irregularity has rendered such ratings inherently unfair.

PRIZES

Overall Performance Prize

The Entrant Teams whose TaskBots attain the three highest Composite Scores will be the winners of the following Overall Performance Prizes. If there is a tie in Composite Score, Sponsor will ask the Judges to break the tie by ranking the TaskBots according to observed helpfulness during the Finals event. Sponsor’s decisions are final and binding in all matters relating to this Competition, including the determination of prize winners.

First-Place Overall Performance Prize (1): The Entrant Team that receives the highest Composite Score will receive $500,000 U.S. dollars awarded in the form of checks divided equally among all members of that Entrant Team.

Second-Place Overall Performance Prize (1): The Entrant Team that receives the second highest Composite Score will receive $100,000 U.S. dollars awarded in the form of checks divided equally among all members of that Entrant Team.

Third-Place Overall Performance Prize (1): The Entrant Team that receives the third highest Composite Score will receive $50,000 U.S. dollars awarded in the form of checks divided equally among all members of that Entrant Team.

Prize Conditions. Prizes are non-transferable except as directed by Sponsor. No prize substitutions allowed. Except where prohibited by law, all federal, state, provincial, or other tax liabilities are the responsibility of the prize winners, Sponsor will not be responsible for any tax deductions which may be necessary, and Sponsor reserves the right to withhold taxes as required by law. Prize winners will be responsible for paying all costs and expenses related to the prize that are not specifically mentioned, including, but not limited to, taxes, withholdings, and any other expenses that might reasonably be incurred by the winner in receiving or using the prize. All prizes awarded will be subject to any taxes Sponsor is required by law to withhold as well as applicable sales, use, gross receipts, goods and service, or similar transaction-based taxes. IF TAXES ARE APPLICABLE TO THE PRIZE(S), IT IS THE RESPONSIBILITY OF THE WINNER TO PAY TO THE APPROPRIATE AUTHORITIES. PAYMENTS TO COMPETITION WINNERS ARE SUBJECT TO THE EXPRESS REQUIREMENT THAT THE WINNER SUBMIT TO SPONSOR ALL DOCUMENTATION REQUESTED BY SPONSOR (INCLUDING FORMS W-9 OR W-8BEN AS REQUESTED BY SPONSOR) TO PERMIT COMPLIANCE WITH ALL APPLICABLE STATE, FEDERAL, LOCAL AND FOREIGN (INCLUDING PROVINCIAL) TAX REPORTING AND WITHHOLDING REQUIREMENTS. Prize winners are responsible for ensuring that the tax documentation submitted to Sponsor complies with all applicable tax laws and requirements. If a winner fails to provide the documentation or submits incomplete documentation, the prize may be forfeited and Sponsor may, in its sole discretion, select an alternate winner.

Sponsor will divide all awards that are payable to any Entrant Team evenly among the Entrant Team members and distribute accordingly. Designation as a prize winner is subject to Entrant’s proof of compliance with these Official Rules, maintaining compliance with these Official Rules and approval by Sponsor. All details of prizes not specified herein shall be determined solely by Sponsor.

PRIVACY

Entrants and Faculty Advisors acknowledge and agree that Sponsor may collect, store, share, and otherwise use personally identifiable information provided during the application process and the Competition, including, but not limited to, name, mailing address, phone number, and email address. All personally identifiable information collected is subject to and will be used in accordance with Sponsor’s Privacy Notice (www.amazon.com/privacy) and YouNoodle’s Privacy Policy (www.younoodle.com/privacy), including for administering the Competition and verifying Entrants’ and Faculty Advisors’ identities, addresses, and telephone numbers in the event an entry qualifies for a prize. YouNoodle’s servers are located in the United States. By participating in this Competition, Entrants and Faculty Advisors authorize the transfer of personal data to the United States for purposes of administering the Competition, conducting publicity about the Competition, and additional purposes consistent with Sponsor’s goals or the Competition goals. By entering the Competition, Entrants and Faculty Advisors consent to Sponsor’s and YouNoodle’s collection, and Sponsor’s use and disclosure of entrants’ personally identifiable information for these purposes. The data controller for information collected by Sponsor is Amazon.com Services LLC, 410 Terry Ave North, Seattle, Washington 98109, USA.

INTELLECTUAL PROPERTY

By entering the Competition, each Entrant and Entrant Team represents and warrants that he or she has obtained all of the rights, licenses, and permissions in writing from any person who may have helped create the TaskBot or that are otherwise necessary for the Entrant Team to distribute the TaskBot and to grant the licenses set forth in these Official Rules and in the Developer Agreement. Entrants MAY NOT submit TaskBots created by any person other than themselves or their Entrant Team members.

As between Sponsor and Entrant Teams, all TaskBots created by Entrant Teams will remain the property of the respective Entrant Teams (excluding any Program Materials incorporated in the TaskBot). However, Sponsor and its designees will have rights to the TaskBots as described below. By submitting a TaskBot in this Competition, each Entrant and Entrant Team represents and warrants that they own, or otherwise have the right to use and license, all of the intellectual property and other rights in and to the TaskBot. Each Entrant and Entrant Team hereby grants Sponsor and its affiliates a non-exclusive, perpetual, irrevocable, worldwide, and royalty-free license to make, have made, use, sell, offer for sale, import, export, license, exploit, promote, reproduce, make available, publicly display, publicly perform, create derivative works of, and otherwise exercise all intellectual property and other rights in and to any concepts, works, inventions, information, designs, programs, software, or other materials that the Entrant or Entrant Team develops or submits in connection with the Competition or the creation of the TaskBot, including any of the foregoing included or described in any Technical Article or other materials provided to Sponsor. In addition, upon Sponsor’s request, all Entrants and Entrant Teams must provide Sponsor all source code and algorithms developed in connection with the Competition. Each Entrant agrees to do or perform, or cause to be done and performed, all such further acts and things, and execute and deliver all such other agreements, certificates, instruments, and documents as Sponsor may reasonably request in order to carry out the intent and accomplish the purposes of the foregoing license.

Except where prohibited, each Entrant and Entrant Team further consents (and agrees to sign any additional documents required by Sponsor to formalize, effect, or perfect such consent) to Competition Entities’ use of their TaskBots pursuant to these Official Rules and the use of any Entrant or Entrant Team names, likeness, biographical information, and voice in advertising, publicity, trade, and other marketing and promotional materials (including video, audio, and print through all means of distribution) worldwide without compensation, notice, or approval, and disclaims any ownership rights to the content of such materials.

WAIVER, RELEASE, AND LIMITATION OF LIABILITY

EACH ENTRANT ACCEPTS THE CONDITIONS STATED IN THESE OFFICIAL RULES, AGREES TO BE BOUND BY THE DECISIONS OF SPONSOR, WARRANTS THAT THE ENTRANT IS ELIGIBLE TO PARTICIPATE IN THIS COMPETITION, AND AGREES TO RELEASE, INDEMNIFY, AND HOLD HARMLESS THE COMPETITION ENTITIES AND THE PERSONNEL OF EACH FROM AND AGAINST ANY AND ALL CLAIMS, LOSSES, LIABILITY, AND DAMAGES OF ANY KIND (INCLUDING REASONABLE ATTORNEYS’ FEES AND EXPENSES) ASSERTED AGAINST ANY OF THEM, INCURRED OR SUSTAINED IN CONNECTION WITH OR ARISING OUT OF ENTRANT’S PARTICIPATION IN THIS COMPETITION OR ANY TRAVEL OR OTHER ACTIVITY RELATED THERETO, USE OF ANY TASKBOT OR RIGHTS THEREIN, OR BREACH OF ANY AGREEMENT OR WARRANTY ASSOCIATED WITH THE COMPETITION, INCLUDING THESE OFFICIAL RULES. ANY ATTEMPT TO DELIBERATELY DAMAGE ANY WEBSITE OR UNDERMINE THE LEGITIMATE OPERATION OF THE COMPETITION MAY BE A VIOLATION OF CRIMINAL AND CIVIL LAWS AND, SHOULD SUCH AN ATTEMPT BE MADE, THE COMPETITION ENTITIES AND EACH OF THEIR LICENSEES RESERVE THE RIGHT TO SEEK ANY AND ALL REMEDIES AVAILABLE FROM ANY PERSONS RESPONSIBLE FOR ANY SUCH ATTEMPT TO THE FULLEST EXTENT PERMITTED BY LAW.

Each Entrant hereby acknowledges and agrees that the relationship between themselves and the Competition Entities is not a confidential, fiduciary, or other special relationship, and that the Entrant’s decision to provide the entry to Sponsor for purposes of the Competition does not place the Competition Entities in a position that is any different from the position held by members of the general public with regard to elements of the entry, other than as set forth in these Official Rules. Each Entrant understands and acknowledges that the Competition Entities have wide access to TaskBots, technology, designs, and other materials, and that new ideas are constantly being submitted to them or being developed by their own employees. Each Entrant also acknowledges that many ideas may be competitive with, similar to, or identical to the TaskBot submission in theme, idea, format, or other respects. Each Entrant acknowledges and agrees that such Entrant will not be entitled to any compensation as a result of Competition Entities’ use of any such similar or identical material that has or may come to Competition Entities, or any of them, from other sources. Entrants acknowledge that other Entrants and Entrant Teams may have created ideas and concepts contained in their TaskBot design that may have familiarities or similarities to their TaskBot design, and that they will not be entitled to any compensation or right to negotiate with the Competition Entities because of these familiarities or similarities.

Entrants further agree that the Competition Entities are not responsible for the following: (a) electronic transmissions, TaskBots or entries, or notifications that are lost, late, stolen, incomplete, damaged, garbled, destroyed, misdirected, or not received by Sponsor or their agents for any reason; (b) any problems or technical malfunctions, errors, omissions, interruptions, deletions, defects, delays in operation or transmission, communication failures, and/or human error that may occur in the transmission, shipping errors or delays, receipt or processing of entries or related materials; or for destruction of or unauthorized access to, or alteration of, entries or related material; (c) failed or unavailable hardware, network, software, or telephone transmissions, damage to Entrants’ or any person’s computer and/or its contents related to or resulting from participation in this Competition; (d) causes that jeopardize the administration, security, fairness, integrity, or proper conduct of this Competition; (e) any entries submitted in a manner that is not expressly allowed under these Official Rules (all such entries will be disqualified); or (f) any printing errors in these Official Rules or in any advertisements or correspondence in connection with this Competition or the tabulation of Interaction Ratings or scores. Sponsor reserves the right, in its sole discretion, to cancel or suspend this Competition should virus, bugs, fraud, hacking, or other causes corrupt the administration, security, or proper play of the Competition, or in the event Sponsor does not receive a minimum of two qualified entries from separate eligible Entrant Teams. Sponsor further reserves the right, in its sole discretion, to cancel or suspend this Competition or to reschedule or reformat events, including without limitation the Finals Event, should Sponsor be prevented, in any manner whatsoever, from holding this Competition or any event due to any present or future law (whether or not valid); any act of God, earthquake, fire, flood, epidemic (including, without limitation, any pandemic), accident, explosion or casualty; any civil disturbance or armed conflict; or any other cause of any similar nature outside of Sponsor’s control. In all such cases, notice to this effect will be posted on the Competition Site and prizes to the extent awarded will be awarded as determined by Sponsor prior to cancellation. If, in Sponsor’s opinion, there is any suspected or actual evidence of electronic or non-electronic tampering with any portion of the Competition or if technical difficulties compromise the integrity of the Competition, the Sponsor reserves the right to void suspect entries and/or terminate the Competition and determine whether to award prizes in its sole discretion. Sponsor reserves the right, in its sole discretion, to disqualify any individual found by Sponsor to have tampered with the entry process or entry materials, otherwise interfered with the proper administration of the Competition, or violated these Official Rules.

DISPUTES

Except where prohibited, you agree that: (1) any and all disputes, claims, and causes of action arising out of or connected with this Competition or any prize awarded shall be resolved individually, without resort to any form of class action; (2) any and all claims, judgments, and awards shall be limited to actual out-of-pocket costs incurred, including costs associated with entering this Competition, but in no event attorneys’ fees; (3) the Competition Entities shall not be liable for, under no circumstances will you be permitted to obtain awards for, and you hereby waive all rights to claim, indirect, punitive, incidental, and consequential damages and any other damages (other than for actual out-of-pocket expenses), and any and all rights to have damages multiplied or otherwise increased. All issues and questions concerning the construction, validity, interpretation, and enforceability of these Official Rules, or the rights and obligations of the Entrant and Sponsor in connection with the Competition, shall be governed by, and construed in accordance with, the laws of the State of Washington without giving effect to any choice of law or conflict of law rules (whether of the State of Washington or any other jurisdiction), which would cause the application of the laws of any jurisdiction other than the State of Washington. You irrevocably submit to venue and exclusive personal jurisdiction in the federal and state courts in Seattle, King County, Washington, USA, for any dispute arising under these Official Rules or in connection with the Competition, and you waive all objections to jurisdiction and venue of such courts.

SPONSOR

Amazon.com Services LLC, 410 Terry Ave North, Seattle, Washington 98109, USA.

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US, WA, Seattle
The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist with experience in building scalable solver solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As an Applied Scientist in AWS Platform, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will: - Define and implement new solver applications that are scalable and efficient approaches to difficult problems - Apply software engineering best practices to ensure a high standard of quality for all team deliverables - Work in an agile, startup-like development environment, where you are always working on the most important stuff - Deliver high-quality scientific artifacts - Work with the team to define new interfaces that lower the barrier of adoption for automated reasoning solvers - Work with the team to help drive business decisions The AWS Platform is the glue that holds the AWS ecosystem together. From identity features such as access management and sign on, cryptography, console, builder & developer tools, to projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second. Learn and Be Curious. 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These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more. Key job responsibilities Work closely with internal and external users on defining and extending application domains. Tune solver performance for application-specific demands. Identify new opportunities for solver deployment. About the team Solver science is a talented team of scientists from around the world. Expertise areas include solver theory, performance, implementation, and applications. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. We are open to hiring candidates to work out of one of the following locations: Portland, OR, USA | Seattle, WA, USA
CN, 11, Beijing
Amazon Search JP builds features powering product search on the Amazon JP shopping site and expands the innovations to world wide. As an Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search service. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages and systems. As an Applied Scientist for Search JP, you will design, implement and deliver search features on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times. Key job responsibilities - Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching, ranking and Search suggestion problems. - Analyzing data and metrics relevant to the search experiences. - Working with teams worldwide on global projects. Your benefits include: - Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers - The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems with tangible customer impact - Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN | Shanghai, 31, CHN
US, WA, Seattle
Are you interested in building, developing, and driving the machine learning technical vision, strategy, and implementation for AWS Hardware? AWS Hardware is hiring a Senior Applied Scientist (AS) to lead the definition and prioritization of our customer focused technologies and services. AWS Hardware is responsible for designing, qualifying, and maintaining server solutions for AWS and its customers as well as developing new cloud focused hardware solutions. You will be a senior technical leader in the existing Data Sciences and Analytics Team, build, and drive the data science and machine learning needed for our product development and operations. As a Senior AS at Amazon, you will provide technical leadership to the teams, organization and products for machine learning. Senior AS’s are specialists with deep expertise in areas such as machine learning, speech recognition, large language models (LLMs), natural language processing, computer vision, and knowledge acquisition, and help drive the ML vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving Amazon’s products and services. The ideal candidate will be an expert in the areas of data science, machine learning, and statistics; specifically in recommendation systems development, classification, and LLMs. You will have hands-on experience leading multiple simultaneous product development and operations initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, infrastructure, methodologies, and productionizing models and code. You will strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof. Key job responsibilities MS in Data Science, Machine Learning, Statistics, Computer Science, Applied Math or equivalent highly technical field. 10+ years of hands-on experience working in data science and/or machine learning using models and methods such as neural networks, random forests, SVMs or Bayesian classification. 3+ years developing recommendation systems and/or LLMs. 3+ years of experience working in software development, machine learning engineering or ops. Have a history of building highly scalable systems that capture and utilize large data sets in order to quantify your products performance via metrics, monitoring, and alarming. Experience using R, Python, Java, or other equivalent statistics and machine learning tools. Experienced in computer science fundamentals such as object-oriented design, data structures and algorithm design. 3+ years of experience developing in a cloud environment. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
US, CA, San Diego
Do you want to join an innovative team of scientists who use deep learning, natural language processing, large language models to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support and provide the best customer and seller experience by automatically mitigating risk? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience? Do you like to build end-to-end business solutions and directly impact the profitability of the company? Do you like to innovate and simplify processes? If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group. Key job responsibilities The scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale when they are determined to be of broad benefit to SPS organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring. We are open to hiring candidates to work out of one of the following locations: San Diego, CA, USA
IN, KA, Bengaluru
How to use the world’s richest collection of e-commerce data to improve payments experience for our customers? Amazon Payments Global Data Science team seeks a Senior Data Scientist for building analytical and scientific solutions that will address increasingly complex business questions in the Gift-Cards space. Amazon.com has a culture of data-driven decision-making and demands intelligence that is timely, accurate, and actionable. This team operates at WW level and provides a fast-paced environment where every day brings new challenges and opportunities. As a Senior Data Scientist in this team, you will be driving the Data Science/ML roadmap for business continuity & growth. You will develop statistical and machine learning models to solve for complex business problems in Gift-Cards space, design and run global experiments, and find new ways to optimize the customer experience. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will explore GenAI use-cases within Gift-Cards space and also work on cross-disciplinary efforts with other scientists within Amazon. Key job responsibilities - You should be detail-oriented and must have an aptitude for solving unstructured and ambiguous problems. You should work in a self-directed environment, own tasks and drive them to completion - You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions - You should demonstrate thorough technical expertise on feature engineering of massive datasets, exploratory data analysis, and model building using state-of-art ML algorithms - Random Forest, Gradient Boosting, SVM, Neural Nets, DL, Reinforcement Learning etc. You should be aware of automating feedback loops for algorithms in production - You should work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus areas - You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and build mechanisms that answer those questions We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND
IN, KA, Bangalore
Are you interested in changing the Digital Reading Experience? We are from Kindle Books Team looking for a set of Scientists to take the reading experience in Kindle to next level with a set of innovations! We envision Kindle as the place where readers find the best manifestation of all written content optimized with features that enable them to get the most out of reading, and creators are able to realize their vision to customers quickly and at scale. Every time customers open their content, regardless of surface, they start or restart their reading in a familiar, useful and engaging place. We achieve this by building a strong foundation of core experiences and act as a force multiplier and partner for content creators (directly or indirectly) to easily innovate on top of Kindle's purpose built content experience stack in a simple and extensible way. We will achieve this by providing a best-in-class reading experience, unique content experiences, and remaining agile in meeting the evolving needs and preferences of our users. Our goal is to foster long-lasting reading habits and make us the preferred destination for enriching literary experiences. We are building a In The Book Science team and looking for Scientists, who are passionate about Reading and are willing to take Reading to the next level. Every Book is a complex structure with different entities, layout, format and semantics, with more than 17MM eBooks in our catalog. We are looking for experts in all domains like core NLP, Generative AI, CV and Deep Learning Techniques for unlocking capabilities like analysis, enhancement, curation, moderation, translation, transformation and generation in Books based on Content structure, features, Intent & Synthesis. Scientists will focus on Inside the book content and semantically learn the different entities to enhance the Reading experience overall (Kindle & beyond). They have an opportunity to influence in 2 major phases of life-cycle - Publishing (Creation of Books process) and Reading experience (building engaging features & representation in the book thereby driving reading engagement). Key job responsibilities - 5+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning - You are able to use reasonable assumptions, data, and customer requirements to solve problems. - You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members. - You work with SDEs to deliver solutions into production to benefit customers or an area of the business. - You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects. - You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs. - You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly - You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics. - You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You keep current with research trends in your area of expertise and scrutinize your results. - Experience in mentoring junior scientists A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test solutions to improve our experience. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, model development and productionizing the same. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. We are open to hiring candidates to work out of one of the following locations: Banagalore, KA, IND | Bangalore, IND | Bangalore, KA, IND
IN, KA, Bangalore
Are you interested in changing the Digital Reading Experience? We are from Kindle Books Team looking for a set of Scientists to take the reading experience in Kindle to next level with a set of innovations! We envision Kindle as the place where readers find the best manifestation of all written content optimized with features that enable them to get the most out of reading, and creators are able to realize their vision to customers quickly and at scale. Every time customers open their content, regardless of surface, they start or restart their reading in a familiar, useful and engaging place. We achieve this by building a strong foundation of core experiences and act as a force multiplier and partner for content creators (directly or indirectly) to easily innovate on top of Kindle's purpose built content experience stack in a simple and extensible way. We will achieve this by providing a best-in-class reading experience, unique content experiences, and remaining agile in meeting the evolving needs and preferences of our users. Our goal is to foster long-lasting reading habits and make us the preferred destination for enriching literary experiences. We are building a In The Book Science team and looking for Scientists, who are passionate about Reading and are willing to take Reading to the next level. Every Book is a complex structure with different entities, layout, format and semantics, with more than 17MM eBooks in our catalog. We are looking for experts in all domains like core NLP, Generative AI, CV and Deep Learning Techniques for unlocking capabilities like analysis, enhancement, curation, moderation, translation, transformation and generation in Books based on Content structure, features, Intent & Synthesis. Scientists will focus on Inside the book content and semantically learn the different entities to enhance the Reading experience overall (Kindle & beyond). They have an opportunity to influence in 2 major phases of life-cycle - Publishing (Creation of Books process) and Reading experience (building engaging features & representation in the book thereby driving reading engagement). Key job responsibilities - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 2+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning - You are able to use reasonable assumptions, data, and customer requirements to solve problems. - You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members. - You work with SDEs to deliver solutions into production to benefit customers or an area of the business. - You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects. - You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs. - You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly - You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics. - You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You keep current with research trends in your area of expertise and scrutinize your results. A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test solutions to improve our experience. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, model development and productionizing the same. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. We are open to hiring candidates to work out of one of the following locations: Bangalore, IND | Bangalore, KA, IND
US, WA, Seattle
Amazon is looking for a strategic, innovative science leader within the Global Talent and Compensation (GTMC) organization to lead an interdisciplinary team charged with developing data-driven solutions to model, automate, and inform high judgement decision making by bringing together science and technology in consumer grade internal talent products. GTMC delivers employee-focused experiences by providing scalable and responsive mechanisms for employees, as well as listening and signaling mechanisms for managers and leaders. They do this through intelligent, flexible, and extensible products and scalable data and science services. They set out to deliver a singular experience supporting multiple employee talent journeys (e.g., onboarding, evaluation, compensation, movement, promotion, exit), to generate and capture signals from product data, surface outliers, increase personalization, and improve the efficacy of “next best action” recommendations, for 1.6 million Amazonians around the world. In this role you will lead multiple research teams across the disciplines of Talent Management, Diversity Equity and Inclusion, and Compensation. You will interface with the most senior leaders at Amazon to develop and deliver on a strategic research roadmap that crosses all lines of Amazon businesses (e.g., Consumer, AWS, Devices, Advertising). This role will then partner with engineering and product management leader to deliver the outcomes of this research in production environments. Successful candidates will have an established background expertise in machine learning with some experience in applying this expertise to the fields of talent management, product management and/or software development. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA
US, WA, Bellevue
Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Principal Economist to provide thought-leadership to help answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build econometric models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems. Key job responsibilities - You understand the state-of-the-art in time series and econometric modeling. - You apply econometric tools and theory to solve business problems in a fast moving environment. - You excel at extracting insights and correct interpretations from data using advanced modeling techniques. - You communicate insights in a digestible manner to senior leaders in Finance and Operations within the company. - You are able to anticipate future business challenges and key questions, and have the ability to design modeling solutions to tackle them. - You have broad influence over the Topline team’s scientific research agenda and deliverables. - You contribute to the broader Econ research community in Amazon. - You advise other economists on scientific best-practices and raise the bar of research. - You will actively mentor other scientists and contribute to their career development. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | New York, NY, USA
US, WA, Seattle
Are you a scientist interested in pushing the state of the art in LLMs, ML or Computer Vision forward? Are you interested in working on ground-breaking research projects that will lead to great products and scientific publications? Do you wish you had access to large datasets? Answer yes to any of these questions and you’ll fit right in here at Amazon. We are looking for a hands-on researcher, who wants to derive, implement, and test the next generation of Generative AI algorithms (either LLMs, Diffusion Models, auto-regressors, VAEs, or other generative models). The research we do is innovative, multidisciplinary, and far-reaching. We aim to define, deploy, and publish cutting edge research. In order to achieve our vision, we think big and tackle technology problems that are cutting edge. Where technology does not exist, we will build it. Where it exists we will need to modify it to make it work at Amazon scale. We need members who are passionate and willing to learn. “Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.” Please visit https://www.amazon.science for more information #hltech #hitech Key job responsibilities - Derive novel ML or Computer Vision or LLMs and NLP algorithms - Design and develop scalable ML solutions - Work with very large datasets - Work closely with software engineering teams and Product Managers to deploy your innovations - Publish your work at major conferences/journals. - Mentor team members in the use of your Generative AI and LLMs. About the team We are a tight-knit group that shares our experiences and help each other succeed. We believe in team work. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. If that sounds like an environment you like, join us. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA