Applied Scientist II, Amazon Search

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Skills you'll use

What you'll do

• As an Applied Scientist on the team, you will lead science innovation to improve the customer search experience through higher-quality search results. You will:
• - Develop and deploy ML models to produce relevant search results.
• - Design and train semantic matching models (bi-encoders, cross-encoders, and distillation from large foundation models) for ranking and relevance.
• - Develop reinforcement learning and reward-modeling approaches to continuously improve search results quality.
• - Train multi-objective ranking and scoring systems that balance suggestion diversity, specificity, and relevance.
• - Design and implement scalable model architectures optimized for strict latency constraints, including knowledge distillation, quantization, and efficient inference strategies for production deployment.
• - Lead end-to-end science projects from problem formulation through production launch, collaborating closely with engineers and scientists within and outside the team to deliver customer-facing impact.

Who can apply

• - 3+ years of building machine learning models for business application experience
• - PhD, or Master's degree
• - Experience in patents or publications at top-tier peer-reviewed conferences or journals
• - Experience programming in Java, C++, Python or related language
• - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

About Amazon

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