AmazonPosted 1mo ago

Senior Applied Scientist , Amazon Ads

Senior Applied Scientist , Amazon Ads at Amazon scores 92 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$192k-$260k

AI in this role

pytorchtensorflowscikit-learn

computer-visionnlp

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

https://www.youtube.com/watch?v=vvHsURsIPEA
Learn More About Amazon Ads

https://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.)

Basic qualifications

- 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

Preferred qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionNlpPyTorchTensorFlowscikit-learn

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
What are the limits of PyTorch that you've run into, and how did you work around them?
What's a project where you used TensorFlow hands-on?
Walk me through how you've used scikit-learn in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer Vision, Nlp, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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