We are looking for a self-motivated, passionate and resourceful Applied Science Manager to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will lead a strong science team and work closely with other science and engineering leaders, product and business partners together to build the best personalized customer experience for Prime Video. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.
Key job responsibilities
- Lead to develop AI solutions for various Prime Video recommendation and personalization systems using Deep learning, GenAI, Reinforcement Learning, recommendation system and optimization methods;
- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
- 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;
- Hire and grow a science team working in this exciting video personalization domain.
About the team
Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various devices. We work closely with the engineering teams to launch our solutions in production.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Sunnyvale - 211,400.00 - 286,000.00 USD annually
USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually