Lead the end-to-end process of AI/ML development and deployment spanning research, model training, offline and online evaluation, and large-scale productization
Partner closely with other research scientists and engineers to effectively integrate models into business applications and platforms
Serve as a cross-functional subject matter expert to surface high-impact opportunities, define roadmaps, and prioritize research investments; drive execution with engineering, product, and creative teams.
Communicate complex concepts with both technical and non-technical stakeholders to influence strategic decisions
Advance the state of the art and deliver innovations that enhance content discovery experience of our members.
Engage with the ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand

Requirements

Strong AI/ML foundations with hands-on experience training, evaluating, and deploying vision-language models and multimodal LLM systems.
Demonstrated research impact in computer vision and multimodal learning, evidenced by publications at top-tier conferences and journals.
Strong programming skills in Python and experience with common ML frameworks such as PyTorch or Tensorflow.
MS or PhD in ML, Computer Science or related fields.
Proven track record of bringing clarity and leading ambitious roadmaps to solve complex problems.
Exceptional communication and collaboration skills, and passionate about positively contributing to the team and company culture.
Comfortable with ambiguity, able to take ownership, and thrive with minimal oversight and process.
Bonus Points: Experience in building agentic workflows and systems for multimodal search and understanding is a big plus.

Benefits

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off
Flexible time off for full-time salaried employees

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML developmentmodel trainingoffline evaluationonline evaluationproductizationvision-language modelsmultimodal LLM systemscomputer visionPythonPyTorch

Soft Skills

communicationcollaborationproblem-solvingownershipadaptabilityinfluenceteam contributionstrategic decision-makingclaritypassion

Certifications

MS in MLPhD in MLPhD in Computer Science