Machine Learning Scientist, L4/5 – Content and Studio

Job Description: • 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. Apply tot his job