Applied Scientist, Real-Time Personalization (LPEX)

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Prime Video is seeking an Applied Scientist on the Linear Personalization Experience (LPEX) team to own the end-to-end ML lifecycle for content recommendations at scale. You will design, train, and deploy models to optimize viewer engagement with real-time personalization for millions of Prime Video customers.

Join a team that collaborates across product, software engineering, and data science to run rigorous experiments and deliver impactful customer experiences from Seattle and beyond.

Qualifications

• PhD or Master’s degree with 4+ years of CS/CE/ML experience.
• 3+ years building models for business applications.
• Experience programming in Java, C++, Python.
• Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel & distributed computing, HPC

Responsibilities

• Design, develop, and deploy ML models for content recommendation and real-time personalization at scale.
• Own the complete ML lifecycle from problem formulation to production deployment.
• Build and optimize recommendation systems with strict latency requirements.
• Design and execute A/B/multivariate experiments to measure impact and drive improvements.
• Collaborate with software engineers to productionize ML models and define data pipelines.
• Partner with product managers and stakeholders to translate business problems into scientific solutions.
• Mentor scientists and engineers on the team, upholding scientific rigor and best practices.

Skills

PhD/MS + 4+ yrs CS/ML

Java/C++/Python

Algorithms & DS

Education

PhD or Master’s degree

Job description

Amazon Prime Video is seeking an Applied Scientist on the Linear Personalization Experience (LPEX) team to own the end-to-end ML lifecycle for content recommendations at scale. You will design, train, and deploy models to optimize viewer engagement with real-time personalization for millions of Prime Video customers.

Join a team that collaborates across product, software engineering, and data science to run rigorous experiments and deliver impactful customer experiences from Seattle and beyond.