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AI Research Scientist, Creative Technology
Netflix. Lead the end-to-end process of AI/ML development and deployment spanning research, model training, offline and online evaluation, and large-scale productization .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong expertise in AI/ML development and deployment, particularly in training and evaluating vision-language models and multimodal LLM systems. Proven ability to communicate complex concepts effectively and lead cross-functional teams to drive innovative solutions.
Highest-signal resume keywords
AI/ML FoundationsPython ProgrammingModel Training and EvaluationExperience with PyTorch or TensorFlowMS or PhD in ML or Computer Science
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML DevelopmentModel DeploymentVision-Language ModelsMultimodal LearningResearch ImpactComplex Problem SolvingAgentic WorkflowsLarge-Scale ProductizationModel IntegrationEvaluation Techniques
Soft Skills
Exceptional CommunicationCollaboration SkillsOwnershipComfort with AmbiguityInfluencing Strategic Decisions
Certifications & Qualifications
MS or PhD in ML or Computer Science
Industry Keywords
Computer VisionMultimodal SystemsResearch PublicationsContent DiscoveryML Community Engagement
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- 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 Netflix members
- Engage with the ML community, internal and external, to learn, teach, and contribute to building the Netflix brand
Requirements
What you’ll need- 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
- 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
- Comfortable with ambiguity, able to take ownership, and thrive with minimal oversight and process
- Experience in building agentic workflows and systems for multimodal search and understanding is a plus
Benefits
Comp & perks- 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 to be used for vacation, holidays, and sick paid time off
- Full-time salaried employees are immediately entitled to flexible time off