Job description

Your Next Big Challenge Starts Here You've spent years mastering machine learning. Now imagine applying that expertise where it actually reaches billions of people — every single day. At Amazon Ads, we're not just running ads. We're re-inventing the entire advertising experience using generative AI, large language models, and next-generation ML. From the moment a brand crafts a campaign to the instant a customer discovers something they love — your science powers it all. Billions of impressions. Millions of clicks. Petabytes of data. And you — at the center of it. Why This Role Will Excite You Unmatched scale and resources. You'll have access to computational power and datasets most scientists only dream about. Build solutions that don't just work in a notebook — they work at planet scale. Breadth that keeps you sharp. One quarter you might be optimizing real-time bidding systems. The next, you're building creative AI that generates ad content. Ranking, personalization, NLP, computer vision, LLMs — it's all on the table. Your ideas ship. This isn't a research lab where papers collect dust. You'll take models from concept to production, run A/B experiments, and see your work move metrics that matter — for advertisers, customers, and the business. People who push you forward. You'll collaborate with world-class engineers, scientists, and product leaders who are just as passionate about solving hard problems as you are. What You'll Actually Do Research and build next-generation ML solutions — including generative AI and LLM applications — that transform how advertising works Own end-to-end projects: from messy, ambiguous problems to deployed, production-grade models Design experiments that validate your hypotheses and measure real business impact Build models that balance what's best for customers and advertisers — because great advertising should feel helpful, not intrusive Work cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster Develop scalable ML pipelines that optimize monetization without sacrificing customer experience Where This Takes Your Career Whether you want to go deep as a technical IC or grow into people leadership — both paths are real here. You'll have opportunities to: Lead high-visibility technical initiatives Mentor and grow other scientists Shape strategy alongside senior leadership Build a reputation in a community that genuinely values scientific excellence Your work won't just be seen internally — it'll impact millions of customers and advertisers worldwide. Watch Scientists at Amazon Ads Talk About Their Work youtube.com Learn More About Amazon Ads advertising.amazon.com Basic Qualifications 5+ years building ML models for real business applications PhD, or Master's degree + 6 years of applied research experience Strong programming skills in Python, Java, C++, or similar Hands-on experience with deep learning and neural network methods Preferred Qualifications Experience with tools like scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy Experience with large-scale distributed systems (Hadoop, Spark, etc.) - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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 & AD&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 amazon.jobs . USA, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually USA, CA, Santa Monica - 167,100.00 - 226,100.00 USD annually USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually USA, MA, Boston - 167,100.00 - 226,100.00 USD annually USA, MD, Washington DC - 167,100.00 - 226,100.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, NY, New York City - 183,800.00 - 248,700.00 USD annually USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

Requirements

Must-haves

Your Next Big Challenge Starts Here
You've spent years mastering machine learning. Now imagine applying that expertise where it actually reaches billions of people — every single day.
Billions of impressions. Millions of clicks. Petabytes of data. And you — at the center of it.
Why This Role Will Excite You
Unmatched scale and resources. You'll have access to computational power and datasets most scientists only dream about. Build solutions that don't just work in a notebook — they work at planet scale.
People who push you forward. You'll collaborate with world-class engineers, scientists, and product leaders who are just as passionate about solving hard problems as you are.
What You'll Actually Do
Research and build next-generation ML solutions — including generative AI and LLM applications — that transform how advertising works
Own end-to-end projects: from messy, ambiguous problems to deployed, production-grade models
Design experiments that validate your hypotheses and measure real business impact
Build models that balance what's best for customers and advertisers — because great advertising should feel helpful, not intrusive
Work cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster

Nice-to-haves

Experience with tools like scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy
Experience with large-scale distributed systems (Hadoop, Spark, etc.)
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually
USA, CA, Santa Monica - 167,100.00 - 226,100.00 USD annually
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually
USA, MA, Boston - 167,100.00 - 226,100.00 USD annually
USA, MD, Washington DC - 167,100.00 - 226,100.00 USD annually

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlllmgopythonjava

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave