Taro Logo

Research Scientist 4 - Content and Studio

Netflix is one of the world's leading entertainment services with 283 million paid memberships in over 190 countries enjoying TV series, films and games.
$170,000 - $720,000
Machine Learning
Staff Software Engineer
In-Person
AI · Entertainment
This job posting may no longer be active. You may be interested in these related jobs instead:
Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting

Staff-level Applied Machine Learning Backend Engineer position at Netflix, focusing on AI Ops platform development and observability systems, offering remote work and competitive compensation.

Software Engineer L5, Machine Learning Platform

Staff Software Engineer position at Netflix focusing on building and scaling machine learning infrastructure, offering competitive compensation and comprehensive benefits.

Machine Learning Engineer L5

Senior Machine Learning Engineer position at Netflix focusing on personalization systems and algorithms, offering competitive compensation and the opportunity to work on large-scale ML applications.

Research Scientist L5, Algorithms Engineering

Senior Research Scientist position at Netflix focusing on machine learning algorithms and personalization, offering competitive compensation and comprehensive benefits.

Senior Machine Learning Engineer - Experimentation

Senior ML Engineer role at Apple focusing on experimentation platform development, requiring 10+ years of experience in ML, A/B testing, and software development.

Description For Research Scientist 4 - Content and Studio

Netflix, a global entertainment leader with 283 million members across 190+ countries, is seeking a Research Scientist 4 for their Content and Studio team. This role focuses on revolutionizing international storytelling through advanced computer vision and machine learning technologies.

The position sits within the Promo Media Algo team, where you'll work on cutting-edge solutions to create visual promotional media assets that help connect global audiences with content they'll love. You'll be instrumental in developing algorithmic solutions using computer vision, graphics, and machine learning to enhance how Netflix presents content to its members.

As a Research Scientist, you'll collaborate with cross-functional teams to define and execute strategic initiatives, working with state-of-the-art technologies including supervised/unsupervised learning, deep learning architectures, GANs, and diffusion models. The role requires an advanced degree in Computer Science or related field, with a strong focus on Computer Vision.

The position offers a competitive salary range of $170,000 - $720,000, with the unique Netflix approach of choosing your preferred mix of salary and stock options. Benefits include comprehensive health coverage, mental health support, 401(k) with employer match, and various family-friendly policies.

This is an exceptional opportunity to join a company that's reshaping global entertainment, working with cutting-edge ML/AI technologies, and making a direct impact on how millions of members discover and engage with content. The role combines technical expertise with creative problem-solving in a fast-paced, innovative environment.

Last updated 4 months ago

Responsibilities For Research Scientist 4 - Content and Studio

  • Design and implement algorithmic solutions to create Visual Promotional Media Assets
  • Collaborate with cross-functional teams to define problem statements, roadmaps, and execute priorities
  • Communicate complex concepts with stakeholders to influence strategic decisions
  • Stay abreast of latest developments in the field
  • Contribute to team growth by exploring new directions
  • Engage with ML community internally and externally

Requirements For Research Scientist 4 - Content and Studio

Python
  • Strong foundation in machine learning and deep learning
  • Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or related field with focus on Computer Vision
  • Programming skills in Python and experience with ML/DL frameworks like PyTorch
  • Demonstrated ability to solve complex problems with innovative algorithmic solutions
  • Entrepreneurial spirit and excellent communication skills
  • Collaborative and thrives in fast-paced dynamic environments

Interested in this job?