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Senior Applied Scientist, MAPLE
About the role
Personalization Recommendations Team at Amazon develops data-driven models to deliver tailored shopping experiences. The Senior Applied Scientist designs, builds, evaluates, and deploys recommendation and GenAI models, collaborates with engineering and business partners, and mentors junior talent. Bengaluru, India, on-site, full-time, relocation not mentioned.
What you’ll do
- Design, develop, evaluate, and deploy personalization models
- Develop new signals and improve recommendation algorithms
- Conduct A/B tests and statistical analysis
- Contribute to production code and scientific tooling
- Collaborate with business, engineering, and partner teams
- Publish research internally and externally
- Mentor junior engineers and scientists
What you’ll bring
- 6+ years building machine learning models for business applications
- PhD or Master's degree
- Programming in Java, C++, Python
- Experience with neural deep learning methods
Nice to have
- Modeling tools such as scikit-learn, Spark MLLib, TensorFlow
- Large scale distributed systems like Hadoop, Spark
Skills
Education
PhD, Master's