Applied Scientist 2 - Personalization and Discovery Science

About the role

Prime Video's Recommendation Science team is hiring an Applied Scientist 2 in Seattle, Washington, to lead research on personalization and discovery. The team builds science solutions that power recommendations and personalized experiences across Prime Video's surfaces and devices, working closely with engineering teams to launch solutions in production. The role combines research leadership with hands-on machine learning practice.

Key responsibilities

• Develop foundation models for content understanding using deep learning and multimodal learning to analyze video and text.
• Build time-series foundation models to understand and predict customer behavior patterns and viewing trajectories.
• Work with engineers and product managers to design, implement and launch solutions end-to-end across Prime Video experiences.
• Design and run offline and online (A/B) experiments to evaluate solutions with in-depth data analysis.
• Communicate technical and non-technical ideas with teammates and stakeholders.
• Stay current with advances in foundation models, multimodal learning and time-series analysis, and publish research at internal and external conferences.

Required profile

• PhD, or Master's degree and 4+ years of experience in computer science, computer engineering, machine learning or a related field.
• 3+ years of experience building models for business applications.
• Experience programming in Java, C++, Python or a related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Required skills

• Java, C++, Python
• Unix/Linux (preferred)
• Professional software development (preferred)

What we offer

• Base salary of $142,800 to $193,200 per year, plus sign-on payments and restricted stock units.
• Health, dental, vision and prescription insurance, 401(k) matching, paid time off and parental leave.