Research Engineer, Machine Learning L6

$100,000 - $990,000/Yr

Netflix - Los Gatos, CA

Full-time - Mid Level

Los Gatos, CA

10,001+ employees

Broadcasting and Content Providers

About the position

The Research Engineer, Machine Learning L6 role at Netflix focuses on advancing the technology behind member-facing algorithms, particularly in the context of large language models (LLMs). The position involves developing and implementing engineering improvements to enhance recommendation systems, ensuring high-quality member experiences. Successful candidates will possess strong software development skills, a passion for problem-solving, and the ability to collaborate effectively with cross-functional teams.

Responsibilities

• Align and evaluate member-facing algorithms to enhance recommendation quality.
• Conceptualize, design, and implement engineering improvements for applied research and product development.
• Develop tools for model alignment and evaluation based on member feedback signals.
• Write high-quality code and enhance quality metrics for machine learning products.
• Collaborate with cross-functional partners to deliver high-quality results.

Requirements

• Solid software engineering experience with a track record of delivering quality results.
• Proven experience with large scale recommender systems and the application of rewards to steer model outcomes.
• Experience in developing standardized evaluation frameworks for context-dependent systems.
• Proven expertise in training, fine-tuning, aligning, and evaluating LLMs and other large foundation models.
• Experience with RLHF, reward models, model quality, and evaluation.
• Strong problem-solving and debugging skills with complex ML systems.
• Strong software development experience in languages such as Python and Java.
• Experience with Spark, TensorFlow, Keras, and PyTorch.
• Experience with GPUs and distributed systems.
• Graduate degree in Computer Science, Statistics, or a related field.

Nice-to-haves

• Experience as a technical leader.
• Experience working with cross-functional teams.
• Experience in Search, Recommendations, Natural Language Processing, Conversational Agents, and Personalization.
• Experience building tools and capabilities to test and evaluate model robustness.
• Experience with cloud computing platforms and large web-scale distributed systems.
• Experience in applied research in industrial settings.
• Open source contributions.
• Research publications at peer-reviewed journals and conferences on relevant topics.

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
• Flexible time off for full-time salaried employees