

Key job responsibilities
As an Applied Scientist in Amazon Ads, you will:
- Research and implement cutting-edge ML approaches, including applications of generative AI and large language models
- Develop and deploy innovative ML solutions spanning multiple disciplines – from ranking and personalization to natural language processing, computer vision, recommender systems, and large language models
- Drive end-to-end projects that tackle ambiguous problems at massive scale, often working with petabytes of data
A day in the life
Why you will love this role: This role offers unprecedented breadth in ML applications, and access to extensive computational resources and rich datasets that enable you to build truly innovative solutions. You'll work on projects that span the full advertising lifecycle - from sophisticated ranking algorithms and real-time bidding systems to creative optimization and measurement solutions.
- 5+ 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.
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