Research Scientist 5 - Content Promotion and Distribution

Netflix
United States
Workplace: OnsiteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Problem-solving","Leadership","Ownership"]

Design and develop AI/ML solutions that improve how Netflix promotional assets are created, evaluated, and productized at scale. Lead end-to-end model development, from research and training to offline/online evaluation and deployment, and partner with engineers, product, and creative teams to integrate models into business applications. Advance vision-language and multimodal systems to enhance content discovery for members while contributing to the ML community.

This position is no longer accepting applications.

  • See live roles at Netflix
  • Search all live jobs
  • Browse companies, collections, and locations hiring now
Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa

This position is no longer accepting applications.

See live roles at NetflixSearch all live jobsBrowse companies, collections, and locations hiring now

Netflix
Netflix
7 months ago

Research Scientist 5 - Content Promotion and Distribution

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 55 minutes agoStatus: Closed

Job Summary

Design and develop AI/ML solutions that improve how Netflix promotional assets are created, evaluated, and productized at scale. Lead end-to-end model development, from research and training to offline/online evaluation and deployment, and partner with engineers, product, and creative teams to integrate models into business applications. Advance vision-language and multimodal systems to enhance content discovery for members while contributing to the ML community.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end AI/ML development and deployment across research, model training, offline and online evaluation, and large-scale productization.
  • •Partner with other research scientists and engineers to integrate models into business applications and platforms.
  • •Serve as a cross-functional subject matter expert to identify high-impact opportunities, define roadmaps, and prioritize research investments with engineering, product, and creative teams.
  • •Communicate complex technical concepts to technical and non-technical stakeholders to influence strategic decisions.
  • •Advance the state of the art to deliver innovations that enhance content discovery for Netflix members, and contribute to the ML community.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability ProgramsPaid Leave

Key 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 ML frameworks such as PyTorch or Tensorflow.
  • •MS or PhD in ML, Computer Science, or a related field.
  • •Exceptional communication and collaboration skills, with a track record of clarifying and leading ambitious roadmaps to solve complex problems.
Experience:Computer visionMultimodal learningVision-languageMultimodal LLMs
Education:
Skills:CommunicationCollaborationProblem-solvingLeadershipOwnership
Tech Stack:PythonPyTorchTensorflowVision-language modelsMultimodal LLM systems

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor