Research Scientist 5/6 – AI for Member Systems

Описание

At Netflix, our mission is to entertain the world. That means connecting billions of people with movies, TV shows, and games they’ll love. To do this, we invest in deeply understanding our members and building world-class discovery and personalization experiences. Every time a member turns to Netflix, they’re relying on us to help them find their next favorite story—and delivering on that promise requires state-of-the-art machine learning and personalization models at a global scale. Applied Machine Learning Research at Netflix drives various aspects of our business, including personalization, recommendations, search, content understanding, messaging, targeting, new member acquisition, evidence, etc.

Responsibilities

• Drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions
• Explore and apply state-of-the-art AI/ML techniques—including LLM pretraining, fine-tuning, and robust offline experimentation—while developing production-ready systems

Requirements

• A strong passion for solving real-world problems at scale through the application of cutting-edge Artificial Intelligence and Machine Learning
• Ph. D or Masters in Computer Science, or any of the related fields
• 6+ years of research experience with a track record of delivering quality results
• Deep expertise in machine learning, including both supervised and unsupervised learning, and practical experience in LLM development
• Demonstrated success in applying LLMs and other Foundation Models to real-world challenges, preferably with experience in post-training LLMs, including fine-tuning and distillation
• Strong software engineering skills
• Required: Python, TensorFlow, PyTorch
• Excellent interpersonal, written, and verbal communication skills

Nice to have

• Proven experience as a technical leader
• Skilled in collaborating with cross-functional teams
• Research publications in peer-reviewed journals and conferences on relevant topics
• Hands-on experience in distributed training, reinforcement learning-based training of LLMs, conversational agents, and Personalization
• Proficiency with cloud computing platforms and large web-scale distributed systems
• Applied research experience in industrial settings
• Contributions to open source contributions
• Experience in one or more of the following areas: search, natural language processing, knowledge graphs, conversational agents, personalization, and reinforcement learning
• Java, Scala, Spark, Hive, Jax, Flink, Hadoop

We offer

• Generally, our compensation structure consists solely of an annual salary; we do not have bonuses
• You choose each year how much of your compensation you want in salary versus stock options
• The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location
• Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits
• We also offer 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
• Remote work