About the job
Our organization is building world-class teams with deep expertise in large-scale recommender systems. This role sits at the intersection of AI research and direct business impact, where recommendation quality directly influences business outcomes and customer satisfaction. You'll be joining a team focused on foundational models for recommender systems and working on production systems that serve millions of customers and shape the future of personalized entertainment experiences.
Responsibilities
Develop AI solutions for various Prime Video Search & Recommendation systems using Deep Learning, Reinforcement Learning, Optimization Methods, and most importantly, GenAI
Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
Effectively communicate technical and non-technical ideas with teammates and stakeholders
Stay up-to-date with advancements and the latest modeling techniques in the field
Publish your research findings in top conferences and journals
Qualifications
Minimum
PhD, or Master's degree and 6+ years of applied research experience
5+ years of building machine learning models for business application experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Preferred
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.