Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

About the role

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll work on projects that are fast-paced, challenging, and varied, collaborating with remarkable people to shape the future of entertainment.

We are looking for a self-motivated, passionate, and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader, building and guiding machine learning models from the ground up. Your contributions will benefit millions of Amazon.com customers worldwide.

Responsibilities

• Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods.
• 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 research findings in top conferences and journals.

About the team

Our team works at the intersection of generative recommendations, multi-objective reinforcement learning, and whole-page optimization. We're rethinking how recommendation systems construct experiences end-to-end, moving beyond ranked lists toward intelligent, adaptive page-level decision-making at scale.

Qualifications

Basic Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python, or related language.
• Experience with neural deep learning methods and machine learning.

Preferred Qualifications

• 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.

Pay

The base salary range for this position is listed below. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers sign-on payments, restricted stock units (RSUs), and comprehensive benefits.

• USA, CA, Sunnyvale: $192,200 - $260,000 USD annually
• USA, NY, New York: $183,800 - $248,700 USD annually
• USA, WA, Seattle: $167,100 - $226,100 USD annually

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans).
• Employee Assistance Program (EAP) and 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 amazon.jobs/en/benefits.