Applied Scientist, Prime Video - Title Lifecycle Presentation

Amazon • Seattle, WA

1d • $142,800 - $193,200 • Onsite

About The Position

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming. Prime Video's technology teams are creating best-in-class digital video experiences. As a Prime Video technologist, you will have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for customers, working on fast-paced, challenging, and varied projects. The Prime Video Title Lifecycle Presentation team sits at the intersection of science, experimentation, and customer experience, leveraging data signals and rigorous testing to present the most engaging information about content to customers at precisely the right moment. The mission is to ensure every customer interaction with Prime Video content is informed, relevant, and compelling to drive discovery and engagement across the vast catalog. This role seeks an Applied Scientist who excels at building sophisticated machine learning systems for content presentation and discovery. The ideal candidate brings deep expertise in multi-modal embeddings for rich metadata representation, contextualized ranking systems, reinforcement learning frameworks, general modeling techniques with strong fundamentals in machine learning and statistical methods, and recommender systems experience. You will work with cutting-edge technology to solve complex problems in content discovery, leveraging large-scale data to create experiences that delight millions of Prime Video customers worldwide.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Deep expertise in multi-modal embeddings for rich metadata representation, enabling nuanced understanding of content attributes and customer preferences
• Deep expertise in contextualized ranking systems that adapt to customer intent, viewing context, and real-time signals
• Deep expertise in reinforcement learning frameworks that create continuous improvement loops, allowing systems to learn and optimize from customer interactions over time
• Deep expertise in general modeling techniques with strong fundamentals in machine learning and statistical methods
• Recommender systems experience, with proven ability to build and scale personalization solutions

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

Responsibilities

• Build large-scale machine learning systems using large datasets with billions of images and video.
• Analyze and model terabytes of text, images, and other types of data to solve real-world problems.
• Translate business and functional requirements into quick prototypes or proofs of concept.
• Invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems using a variety of domain expertise combined with machine learning and statistical techniques.

Benefits

• 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
• Parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree