Applied Scientist II, Amazon Search
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens
I korthet
Amazon Search is seeking an Applied Scientist II to enhance global shopping experiences through advanced NLP, ML, and DL technologies. This role involves leading innovations in query understanding, semantic matching, and ranking to deliver high-precision, low-latency search results across all languages and locales.
Ansvarsområden
- 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.
Krav
- 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.
Önskade kvalifikationer
- Experience using Unix/Linux.
- Experience in professional software development.
#Applied Science#Amazon Search#Machine Learning#NLP#Deep Learning