Senior Applied Scientist , Ads

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.

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.

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

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.

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

Experience with tools like scikit-learn, Tensor Flow, 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 et al.

• 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…