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

Amazon • Sunnyvale, CA

4d

About The Position

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 experience.

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!

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.

We're seeking talent who can deliver measurable impact on our core business
metrics while advancing the state-of-the-art in personalization and
recommendation technology.

The Prime Video - Personalization & Discovery Science team owns science solution
to power search experience on various devices, from sourcing, relevance, &
ranking (to name a few). We are on a mission to deliver an AI-first customer
experience. At the heart of this transformation are our recommendation systems
-- core, customer-facing components that serve as primary drivers of engagement
& growth.

Requirements

• 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

Nice To Haves

• 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.

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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level