[Remote] Engineering Manager, Machine Learning, Content Representation Models (AI Foundations)

Note: The job is a remote job and is open to candidates in USA. Netflix is one of the world's leading entertainment services, and they are seeking an Engineering Manager for their Machine Learning team. The role involves leading a team of researchers and engineers to advance content representation models, ensuring reliability and adoption in production while driving innovation in foundation model research. Responsibilities • Lead a team of researchers and engineers advancing both media-based and metadata-based representations of content • Drive innovation in foundation model research, leveraging large language and vision-language models to enhance metadata and media understanding, and using Netflix’s unique long-form media and engagement data to create richer, more personalized representations • Ensure production excellence across embedding pipelines – maintaining reliability, performance, and scalability • Guide adoption of embeddings as first-class products, partnering with downstream application teams to maximize business and product impact Skills • Proven track record of building and leading high-performing ML research or foundation model teams • Experience developing and/or deploying large-scale representation learning, multimodal, or embedding systems • Strong technical judgment in foundation model architecture, training, evaluation, and deployment • Experience balancing research exploration with production reliability • Strong collaboration and communication skills – able to represent technical work to non-technical partners • Demonstrated ability to drive cross-functional adoption of platform-level ML capabilities • Advanced degree in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience • 8+ years of experience in ML or AI, including 3+ years leading technical teams • Background in multimodal learning, contrastive training, or LLM-based embedding architectures • Experience building ML systems used across multiple product surfaces • Experience with large-scale distributed training, embedding infrastructure, or evaluation frameworks • Familiarity with both research-oriented and production-grade ML workflows Benefits • Health Plans • Mental Health support • A 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. Company Overview • Netflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • Netflix has a track record of offering H1B sponsorships, with 230 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job