Senior Applied Scientist, Linear Personalization Experience Team (LPEX)
About The Position
Prime Video is a leading entertainment platform offering a wide range of content across various devices. The technology teams are focused on creating a best-in-class digital video experience. As a technologist at Prime Video, you will have end-to-end ownership of product, user experience, design, and technology. This role involves working on fast-paced, challenging, and varied projects, with opportunities for experimentation, risk-taking, and collaboration. The company values diverse perspectives and offers global opportunities. Prime Video is actively disrupting traditional media with its expanding ecosystem, including Linear TV, which has become a rapidly growing segment with significant year-over-year viewership increases. This growth highlights the continued customer value for the lean-back, curated experience of Linear TV.
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.
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
- Experience with statistical methods (e.g., A/B Testing, Regression)
- Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
Responsibilities
- Define and drive the science strategy and multi-year roadmap for Linear TV personalization, translating research advances into measurable business and customer experience outcomes.
- Design, develop, and deploy machine learning models for content recommendation, viewer engagement optimization, and real-time personalization at the scale of hundreds of millions of Prime Video customers.
- Own the complete ML lifecycle: problem formulation, data analysis, feature engineering, model development, offline and online evaluation, and reliable production deployment.
- Build and continuously optimize recommendation systems with strict real-time latency requirements, ensuring that personalization decisions are delivered at speed and scale.
- Design and execute rigorous A/B and multivariate experiments to measure recommendation quality, understand causal drivers of engagement, and iterate rapidly toward customer impact.
- Partner with software engineering teams to productionize ML models, defining requirements for serving infrastructure, data pipelines, and model monitoring and observability.
- Collaborate with product managers and cross-functional stakeholders to translate ambiguous business problems into well-scoped, tractable science solutions.
- Publish research findings and contribute to the broader scientific community through papers, patents, and internal knowledge-sharing forums.
- Mentor scientists and engineers on the team, setting a high bar for scientific rigor, experimental discipline, and ML engineering best practices.
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
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
