Prime Video & Amazon MGM Studios · 2 hours ago
Senior Applied Scientist, Prime Video: Playback Intelligence
Seattle, WA
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
6+ years expPrime Video is a first-stop entertainment destination offering customers a vast collection of premium programming. As a Senior Applied Scientist in the Prime Video Playback Intelligence organization, you will leverage your expertise in applied machine learning and data science to enhance customer playback quality and develop innovative solutions for video streaming optimization.
InternetSoftwareWeb Development
Responsibilities
You will work with multiple teams of scientists, engineers, and product managers to translate business and functional requirements into concrete deliverables leading strategic efforts to enhance customer quality of experiences
Problem spaces you will be working on include: improving the customer playback quality of experience across Video on Demand, Live Events and Linear Content. You’ll aim to reduce the time/cost/effort to optimize the customer experience as well as detect, root-cause, and mitigate defects in the customer experience. You’ll seek to understand the depth and nuance of streaming video at scale and identify opportunities to grow our business and improve customer quality of experience via principled ML/AI solutions. You will also lead integration of new algorithms and processes into existing modeling stacks, simplify and streamline the existing modeling stacks, and develop testing and evaluation strategies. Ultimately, you'll work backwards from the desired outcomes and lead the way on determining the ideal solution (statistical techniques, traditional ML, GenAI, etc)
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them
You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance)
You will also work with external academic partners to support our in-house talent with direct access to cutting edge research and mentoring
Qualification
Required
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Hands-on experience with designing and prototyping AI solutions for real world applications
Preferred
Track record of delivering large-scale and high-quality science solutions
Benefits
Equity
Sign-on payments
Medical
Financial
Other benefits
Company
Prime Video & Amazon MGM Studios
Prime Video delivers an entertainment destination unlike any other—fast, reliable, personal, effortless, and delightful.
10001+ employees
H1B Sponsorship
Prime Video & Amazon MGM Studios has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageLeadership Team
Andrew Ryu
Games Business Executive
Fernando Flores
Senior Technical Program Manager
Recent News
2026-01-14
The Hollywood Reporter
2026-01-14
Company data provided by crunchbase