aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

category management project intern (tiktok shop - operation center) - 2026 start (bs/ms)

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

ai engineer - genai, creative-x Jobs in Seattle

ai engineer - genai, creative-x

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

applied science manager stores foundation ai sfai

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are working on improving shopping on Amazon using the conversational capabilities of large language models and through customer behavioral data to make them more personalized for each customer. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be managing a team working on Large Language Model (LLM) and/or Vision-Language Model (VLM) post-training and alignment for new shopping experiences. You&rsquo;ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you&rsquo;re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of scientists or machine learning engineers management experience</li><li>Knowledge of ML, NLP, Information Retrieval and Analytics</li><li>PhD in Computer Science, Computer Engineering, or related technical field; OR Master's Degree in Computer Science, Computer Engineering, or related technical field with 5+ years of experience as a Scientist/Engineer.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Palo Alto - 211,400.00 - 286,000.00 USD annually<br>
USA, WA, Seattle - 183,800.00 - 248,700.00 USD annually</div><p></p>

Applied Science Manager , Stores Foundation AI (SFAI)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining advertising through generative AI, transforming how millions of customers discover products and engage with brands across Amazon.com and beyond. We bridge human creativity with artificial intelligence across the full advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights.<br>
<br>
Within SPB, the Off-Search team builds ad experiences across surfaces beyond Search&mdash;product detail pages, the homepage, and store-in-store pages. Our team is specifically focused on ad and experience expansion on Homepage: growing the number of ad placements, introducing new widget formats, and delivering richer, more personalized ad experiences that integrate naturally with the shopping journey. We partner with Amazon Stores to ensure ads complement organic recommendations&mdash;new arrivals, deals, basket-building content, and fast-delivery options&mdash;while adapting to shopper preferences, seasonal moments, and diverse page layouts. We operate full stack, from backend retrieval and auction systems to the shopper-facing experience layer.<br>
<br>
If you're energized by solving complex challenges at the intersection of ads, personalization, and customer experience, join us in shaping the future of advertising on Amazon's most visited surface.<br>
<br>
Key job responsibilities<br>
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:<br>
<br>
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our Homepage team is at the center of this mission, leveraging large language models (LLMs) to build a new generation of personalized ad experiences that understand shopper intent, adapt to individual preferences, and deliver contextually relevant creatives in real time. Beyond Homepage, we are designing these experiences as reusable building blocks that can scale across other pages on Amazon&mdash;detail pages, browse, store-in-store, and emerging surfaces&mdash;so that innovation on one page accelerates growth everywhere. We operate full stack, from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences, working in close partnership with Amazon Stores to integrate advertising seamlessly alongside organic content like new arrivals, basket-building recommendations, and fast-delivery options.<br>
<br>
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we're helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually</div><p></p>

Applied Scientist, Sponsored Products Off-Search Homepage Team

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon&rsquo;s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.<br>
<br>
At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.<br>
<br>
About the team<br>
The Stores Economics and Science (SEAS) organization uses economics, statistics, and machine learning to understand and design the complex economy of Amazon&rsquo;s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. Our team is composed in equal parts of software engineers and scientists trained in diverse fields including ML, robotics, computer vision (CV), natural language processing (NLP), distributed systems and econometrics.<br>
<br>
Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems, incubating products with high AI research risk, reducing friction and manual effort with AI tooling, and raising the scientific bar across all teams at Amazon.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in Economics, Computer Science, Operations Research or highly related field (Physics, Statistics, Mathematics).</li><li>Experience in industry, consulting, government, or academic research.</li><li>Coding ability in a scripting language such as R, Python, Matlab, or STATA.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.</li><li>Applicants with considerably more and broader, experience are also strongly encouraged.</li><li>Strong track record in performing high-quality analysis of data at scale.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 276,100.00 - 350,000.00 USD annually<br>
USA, WA, Seattle - 240,100.00 - 324,800.00 USD annually</div><p></p>

Sr. Principal Scientist, Stores Economics and Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Advertising is a complex, multi-sided market with many technologies at play within the industry. The industry is rapidly growing and evolving as viewers are shifting from traditional TV viewing to streaming video and publishers are increasingly adding video content to their online experiences. Amazon&rsquo;s video advertising is a rising competitor in this industry. Amazon&rsquo;s service has differentiated assets in our customer &amp; audience insights, exclusive video content, and associated inventory that position us well as an end-to-end service for advertisers and agencies. We are innovating at the intersection of advertising, e-commerce, and entertainment.<br>
<br>
Amazon Publisher Monetization (APM) is looking for a a passionate and experienced scientist who is adept at a variety of skills; especially in generative AI, computer vision, and large language models that will accelerate our plans to maximize yield via AI-driven contextual targeting, Ads syndication and more. The ideal candidate will be an inventor at heart, they will provide science expertise, rapidly prototype, iterate, and launch, foster the spirit of collaboration and innovation within our larger sister teams and their scientists, and execute against a compelling product roadmap designed to bring AI-led science innovation to solve one of the most challenging problems in advertising.<br>
<br>
Key job responsibilities<br>
This role is focused on shaping our approach to the solving the trifecta of advertising - serving the right ad to the right viewer at the right moment - delivering engaging ads for viewers, improved performance for advertisers, and maximizing the yield of our supply inventory.<br>
<br>
Responsibilities include:<br>
<ul><li>Partner deeply with Product and Engineering to develop AI-based solutions to generating contextual signals across both video (VOD and Live) and display ads.</li><li>Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity.</li><li>Provide technical/science leadership related to computer vision, large language models and contextual targeting.</li><li>Research new and innovative machine learning approaches.</li><li>Partner with Applied Scientists across the broader org to make the most of prior art and contribute back to this community the innovation that you come up with.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, Amazon Publisher Monetization - Ads

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
We are seeking a technical leader for our Search Thematic Advertising Experiences team to lead a multi-disciplinary team of science and engineering. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.<br>
<br>
Key job responsibilities<br>
Search Thematic Advertising Experiences , within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model&ndash; and leveraging this knowledge to help turn the flywheel of the business.<br>
As a Senior Applied Scientist on this team you will:<br>
<ul><li>-Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.</li><li>-Lead technical efforts within this team and across other teams.</li><li>-Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.</li><li>-Run A/B experiments, gather data, and perform statistical analysis.</li><li>-Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.</li><li>-Work closely with software engineers to assist in productionizing your ML models.</li><li>-Research new machine learning approaches.</li><li>-Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.</li></ul><br>
A day in the life<br>
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.<br>
<br>
About the team<br>
We are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of applied research experience</li><li>3+ years of scientists or machine learning engineers management experience</li><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Knowledge of ML, NLP, Information Retrieval and Analytics</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 202,200.00 - 273,600.00 USD annually<br>
USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually</div><p></p>

Applied Science Manager, Sponsored Products

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.<br>
<br>
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.<br>
<br>
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.<br>
<br>
Key job responsibilities<br>
<br>
Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models<br>
Working with technical and non-technical stakeholders across every step of science project life cycle<br>
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models<br>
Innovating by adapting new modeling techniques and procedures<br>
Presenting research results to our internal research community</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience effectively communicating complex concepts through written and verbal communication</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, Amazon Stores Finance Science

Socure

<div><h2 class="jobSectionHeader"><b>Why Socure?</b></h2><p>
Socure is building the identity trust infrastructure for the digital economy &mdash; verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.</p><p>
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won&rsquo;t be your place. If you want to help build the future of identity with a team that holds a high bar for itself &mdash; keep reading.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly driven and innovative leader to build and scale the next generation of AI-powered identity and compliance solutions. This role will lead the Data Science function across core identity and compliance products, including <b>KYC, International KYC, Global Watchlist, Advanced Prefill, and Identity Graph</b>.</p><p>
In addition to advancing core modeling capabilities, you will spearhead the development of <b>intelligent, agent-driven systems</b> that automate and optimize identity decisioning, investigation, and compliance workflows. You will define the technical vision and execution strategy for identity at scale, pushing the boundaries of machine learning, graph intelligence, and autonomous systems to solve some of the hardest problems in digital identity and regulatory compliance.</p><p>
This role requires a leader who sets a high bar for execution, thrives in ambiguity, and consistently translates complex, high-stakes problems into scalable, production-grade systems.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><p><b>
Own and drive the data science vision</b> for Identity &amp; Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.</p></li><li><p><b>
Lead, build, and develop a high-performing team</b> of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.</p></li><li><p><b>
Architect and deploy advanced machine learning systems</b> across identity verification, entity resolution, sanctions screening, and compliance risk modeling.</p></li><li><p><b>
Drive the development of graph-based intelligence</b>, including large-scale <b>graph neural networks (GNNs)</b> and link analysis models to power Identity Graph, fraud detection, and watchlist matching.</p></li><li><p><b>
Lead the design and implementation of agent-based AI systems</b>, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.</p></li><li><p><b>
Advance state-of-the-art modeling approaches</b>, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.</p></li><li><p><b>
Drive innovation in Identity Graph and Prefill systems</b>, improving identity resolution, linking, and enrichment capabilities across global datasets.</p></li><li><p><b>
Partner closely with Product, Engineering, Risk, and Go-to-Market teams</b> to translate business needs into scalable AI solutions that deliver customer value.</p></li><li><p><b>
Own the end-to-end model lifecycle</b>, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.</p></li><li><p><b>
Ensure alignment with regulatory and compliance requirements</b>, balancing model performance with explainability, auditability, and governance.</p></li><li><p><b>
Continuously raise the bar on experimentation and execution velocity</b>, enabling rapid iteration while maintaining high standards for reliability and impact.</p></li><li><p><b>
Own customer communication and stakeholder management, </b>serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.</p></li><li><p><b>
Represent Socure externally</b> as a thought leader in identity, compliance, and applied AI.</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You Bring</b></h2><ul><li><p>
Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.</p></li><li><p>
10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.</p></li><li><p>
Significant experience in <b>identity verification, KYC/AML, fraud detection, or risk modeling</b> in fintech or adjacent domains.</p></li><li><p>
Proven leadership experience managing and scaling high-performing data science teams.</p></li><li><p>
Deep expertise in <b>modern machine learning techniques</b>, including deep learning, <b>graph neural networks</b>, entity resolution, and large-scale data systems.</p></li><li><p>
Strong understanding of <b>agentic system design</b>, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.</p></li><li><p>
Strong experience working with <b>heterogeneous data sources</b>, including structured data, text, network/graph data, and third-party identity signals.</p></li><li><p>
Demonstrated ability to <b>drive ambiguous, high-impact problems to production</b>, balancing speed, rigor, and business outcomes.</p></li><li><p>
Hands-on experience with <b>Apache Spark</b> and large-scale distributed data systems.</p></li><li><p>
Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.</p></li><li><p>
Proven ability to <b>engage with customers and external stakeholders</b>, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.</p></li><li><p>
Experience representing organizations in <b>customer-facing discussions, executive briefings, or public speaking engagements</b> is strongly preferred.</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Get</b></h2><ul><li><p>
Work on some of the most challenging and impactful problems in identity and fraud prevention</p></li><li><p>
Build industry-defining AI systems at the intersection of graph intelligence and autonomous agents</p></li><li><p>
Join a fast-moving, high-caliber team that values innovation and ownership</p></li><li><p>
Competitive compensation, equity, and benefits</p></li><li><p>
Opportunity to shape the future of digital identity at global scale</p></li></ul><p></p><p><i>
Please note that we can only hire within ~45 miles of San Francisco, New York, Seattle, Miami, and DC. We are unable to provide sponsorship support now or in the future.</i></p><p><i>
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</i><br>
<i>If you need an accommodation during any stage of the application or hiring process&mdash;including interview or onboarding support&mdash;please reach out to your Socure recruiting partner directly.</i></p><p><b><br>
Follow Us!</b></p><p>
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Compensation Range: $250K - $300K</p></div>

Head of Data Science - Identity & Compliance

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