Engineering Manager, Machine Learning Model Evaluations and Data Curation
Netflix
Job Overview
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Job Description
About Netflix
At Netflix, our mission is to entertain the world. We merge creativity, intuition, and cutting-edge technology to push the boundaries of storytelling and innovation.
The Opportunity
Fast-paced innovation in large language models (LLMs) and generative AI is reshaping personalization. The Model Evaluations and Data Curation team is central to driving Netflix's transformation in AI, by building benchmarks, evaluators, and data infrastructures that ensure our foundation models deliver personalized experiences.
Your Impact
- Partner with AI application teams to define evaluation benchmarks.
- Design and implement rigorous evaluation methodologies.
- Develop strong baselines and scalable data systems for model training.
- Hire and nurture a world-class team of ML researchers and engineers.
- Collaborate with ML and data engineering teams to integrate insights into model development.
Minimum Qualifications
Experience in building and leading high-performing ML teams; proven track record in taking machine learning initiatives from research to production; strong technical expertise in LLMs and evaluation methods; ability to drive cross-functional projects and communicate effectively.
Preferred Qualifications
8+ years overall experience including 3+ years in engineering management; hands-on experience with large-scale ML systems and foundation models; familiarity with evaluator frameworks and data infrastructure design; experience with multi-modal data evaluations.
Compensation & Benefits
This role offers a competitive salary set by market indicators, along with comprehensive benefits including health plans, retirement programs, flexible time off, and more.
Key skills/competency
- Machine Learning
- LLMs
- Evaluation Methodologies
- Data Curation
- Benchmarking
- Scalable Systems
- Team Leadership
- AI Research
- Cross-Functional Collaboration
- Innovation
How to Get Hired at Netflix
- Customize your resume: Highlight leadership and ML experience.
- Showcase projects: Include evaluation frameworks and data systems work.
- Research Netflix: Understand their AI and tech culture.
- Prepare for interviews: Emphasize cross-functional project success.
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