Machine Learning Scientist, L4/5 – Content and Studio
Employment Information
Job Description
Machine Learning Scientist responsible for development and deployment of ML solutions for enhancing Netflix's content discovery experience. Collaborating with cross-functional teams to advance innovative approaches in media promotion.
Responsibilities:
- Lead the end-to-end process of ML development and deployment, spanning research, model training, offline and online evaluation, and large-scale productization.
- Partner closely with other ML 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 the 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 ML/DL 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/DL 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.
Benefits:
- You choose each year how much of your compensation you want in salary versus stock options.
- Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
- We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
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