Machine Learning ScientistYour 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 YouUnmatched 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 DoResearch 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 CareerWhether 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.

Basic Qualifications5

• 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 QualificationsExperience with tools like scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy

Experience with large-scale distributed systems (Hadoop, Spark, etc.)