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

Overview

Prime Video & Amazon MGM Studios | Posted Feb 27
• Full-time
• New York
• Advanced (5-10 yrs)

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app 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 content and programming from Prime Video add-on subscriptions. Customers can rent or buy titles via the Prime Video Store, and can enjoy content for free with ads.

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 projects, have opportunities to experiment, take risks, and collaborate with remarkable people. We’re building world-class teams with deep expertise in large-scale recommender systems at the intersection of AI research and business impact.

We’re seeking talent who can deliver measurable impact on core business metrics while advancing the state-of-the-art in personalization and recommendation technology. This role sits in the Personalization & Discovery Science team, focused on foundational models for recommender systems and production systems serving millions of customers.

• Develop AI solutions for Prime Video Search & Recommendation systems using Deep Learning, Reinforcement Learning, Optimization Methods, and GenAI
• Collaborate with engineers and product managers to design, implement, and launch AI solutions end-to-end
• Design and conduct offline and online (A/B) experiments with in-depth data analyses
• Communicate technical and non-technical ideas effectively to teammates and stakeholders
• Stay up-to-date with advancements and modeling techniques in the field
• Publish research findings in top conferences and journals

The Prime Video - Personalization & Discovery Science team owns science solutions to power search experiences across devices, focusing on AI-first customer experiences. Our recommendation systems are core, customer-facing components driving engagement and growth.

• PhD, or Master’s degree and 6+ years of applied research experience
• 5+ years of 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

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MXNet, Tensor Flow, Num Py, Sci Py
• Experience with large-scale distributed systems such as Hadoop, Spark

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

USA, NY, New York

Salary ranges: USA, NY, New York -  -  USD annually; other listed locations may vary. The base salary range for this position is listed below. Your package includes sign-on payments and RSUs. Final compensation will be determined based on experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, parental leave, and more. See benefits information s/en/benefits.

Services LLC

Job : A3187309

If you’re applying from Los Angeles County, note job duties include standard safety and compliance expectations, and we will consider qualified applicants with arrest and conviction records per the Fair Chance Ordinance. For accommodations during the application process, visit amazon.jobs/content/en/how-we-hire/accommodations.