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

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of Prime membership, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Prime Video's technology teams are creating best-in-class digital video experiences. 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 fast-paced, challenging, and varied projects, experiment with new possibilities, take risks, and collaborate with remarkable people. We value diverse perspectives, ideas, and skill-sets to enhance Prime Video for our customers, with global opportunities for talented technologists.

About the role

We are looking for a self-motivated, passionate, and resourceful Applied Scientist to contribute diverse perspectives, ideas, and skill-sets to improve Prime Video for our customers. As a hands-on machine learning practitioner and research leader, you will build and guide machine learning models from the ground up, seeing your contributions benefit millions of customers worldwide.

Responsibilities

• Develop AI solutions for various Prime Video Personalization 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

Prime Video Growth Science team owns science solutions for online new content experiences and offline experiences across various devices, from sourcing, relevance, to ranking. We collaborate closely with engineering teams to launch our solutions in production.

Qualifications

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience.
• 5+ years of experience building machine learning models for business applications.
• 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

USA, CA, Sunnyvale: $192,200.00 - $260,000.00 USD annually

USA, WA, Seattle: $167,100.00 - $226,100.00 USD annually

Benefits

Amazon offers comprehensive benefits including:

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line and 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.