Amazon.com Services LLC
Entertainment
SeniorAppliedScientist,LinearPersonalizationExperienceTeam(LPEX)
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“Senior Applied Scientist, Linear Personalization Experience Team (LPEX) at Amazon.com Services LLC. Skills: Machine learning, Personalization, Recommendation systems, MLOps. Define science strategy. Drive science roadmap”
What You'll Achieve.
Deliver measurable business outcomes; Deliver customer experience outcomes
Industry & Context.
Problem formulation; Data analysis; Feature engineering; Model development; Model evaluation; Root cause analysis
What They're Looking For.
Must Have
Master's degree and 6+ years of applied research experience, 5+ years of building machine learning models, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning
Nice to Have
PhD preferred, Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with large scale distributed systems, Experience in state-of-the-art deep learning models architecture design, Experience with deep learning training and optimization, Experience with model pruning, Experience with AWS services, Experience with statistical methods, Experience in written and verbal communication skills
What You'll Do.
Define science strategy
Drive science roadmap
Translate research advances
Design machine learning models
Develop machine learning models
Deploy machine learning models
Evaluate models offline
Evaluate models online
Deploy models reliably
Build recommendation systems
Optimize recommendation systems
Deliver personalization decisions
Measure recommendation quality
Understand causal drivers
Iterate toward customer impact
Partner with software engineering
Productionize ML models
Define serving infrastructure requirements
Define data pipeline requirements
Define model monitoring requirements
Define model observability requirements
Collaborate with product managers
Collaborate with stakeholders
Translate business problems
Scope science solutions
Publish research findings
Contribute to scientific community
Set scientific rigor bar
Set experimental discipline bar
Set ML engineering best practices bar
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Software engineering teams; Product management; Business development
Communication Scope
Technical communication; Publish research findings; Internal knowledge-sharing
Process & Methodology
Roadmap development
Full Job Description
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! Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award-winning original content, add-on subscriptions, and live events like Thursday Night Football. Within this expanding ecosystem, Linear TV with its 24/7 scheduled broadcast-style programming has emerged as one of our fastest-growing segments, with viewership hours increasing significantly year over year. This growth demonstrates that even in the streaming era, customers deeply value the lean-back, curated experience that Linear TV provides. Key job responsibilities As an Applied Scie
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