Engineering Manager, Machine Learning, Content Representation Models
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $190,000 - $920,000 per year
Job Level
SeniorLead
About the role
- 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.
- 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.
Requirements
- 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
- 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
- 35 days annually for paid time off for full-time hourly employees
- Immediate entitlement to flexible time off for full-time salaried employees
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
foundation model researchlarge language modelsvision-language modelsrepresentation learningembedding systemsmultimodal learningcontrastive trainingLLM-based embedding architectureslarge-scale distributed trainingembedding infrastructure
Soft skills
leadershipcollaborationcommunicationtechnical judgmentcross-functional adoptioninnovationproduction reliabilityteam buildingrepresentation of technical workdriving impact
Certifications
advanced degree in Computer Scienceadvanced degree in Machine Learningadvanced degree in a related quantitative field