Senior Applied Scientist, AI for Prime Video Search

Prime Video & Amazon MGM Studios; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Prime Video Search Science team at Amazon.com Services LLC is seeking an Applied Scientist to own machine learning projects end-to-end, delivering state-of-the-art AI solutions for Prime Video search across devices. You will work hands-on as ML practitioner and research leader, bringing impact to millions of customers.

You will design and run offline/online experiments, collaborate with engineers and product managers, publish findings, and stay ahead with latest modeling techniques.

Qualifications

• PhD or Master’s degree with 6+ years of applied research experience.
• 5+ years building machine learning models for business applications.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Develop AI solutions for Prime Video Search systems using Deep learning, GenAI, RL and optimization methods.
• Collaborate with engineers and product managers to design, implement and launch AI solutions end-to-end.
• Design and conduct offline and online experiments to evaluate proposed solutions based on data analyses.
• Communicate technical ideas effectively with teammates and stakeholders.
• Stay up-to-date with advancements in modeling techniques and publish research findings.
• Publish research findings in top conferences and journals.

Skills

Applied ML research

Communication

Problem solving

Education

PhD or Master’s with 6+ years

Tools

Java

C++

Python

DL frameworks

Job description

Prime Video Search Science team at Amazon.com Services LLC is seeking an Applied Scientist to own machine learning projects end-to-end, delivering state-of-the-art AI solutions for Prime Video search across devices. You will work hands-on as ML practitioner and research leader, bringing impact to millions of customers.

You will design and run offline/online experiments, collaborate with engineers and product managers, publish findings, and stay ahead with latest modeling techniques.