Applied Science Manager, Prime Video Personalization & Discovery

Amazon; San Francisco (CA); On-site; USD 211,400 - 286,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking an Applied Science Manager for Prime Video Personalization & Discovery. In this role, you'll develop AI solutions for recommendation systems, leading a science team to enhance customer experiences. You'll collaborate with engineers and product managers to ensure seamless implementation of solutions, leveraging your extensive experience in machine learning and AI.

This position offers the opportunity to shape the future of entertainment, working in a fast-paced, innovative environment.

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.

Responsibilities

• Lead to develop AI solutions for recommendation and personalization systems.
• Work closely with engineers and product managers to implement AI solutions.
• Effectively communicate technical ideas with teammates and stakeholders.
• Stay current with advancements in the field.
• Hire and grow a science team in video personalization.

Skills

Machine Learning

AI Solutions Development

Deep Learning

Natural Language Processing (NLP)

Information Retrieval

Programming in Java, C++, Python

Education

PhD or Master's degree

Job description

Applied Science Manager, Prime Video Personalization & Discovery

Job ID: 10428842 | Amazon.com Services LLC

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 whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? 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 get to work on projects that are fast‑paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill‑sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

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

The Prime Video Recommendation Science team owns science solutions to power recommendation and personalization experiences 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.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and company policies.

The base salary range for this position is listed below.

USA, CA, Sunnyvale – 211,400.00–286,000.00 USD annually. USA, WA, Seattle – 183,800.00–248,700.00 USD annually.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional 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.