Software Engineer L4/L5, Machine Learning Platform (Model Development and Management)

Netflix • Los Gatos, CA

66d • $100,000 - $720,000

About The Position

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We are seeking an ambitious Software Engineer to join the Model Development and Management team, that is building the self-serve user interface layer for Netflix’s MLP in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. In this role, you'll help shape the future of ML infrastructure at Netflix, with opportunities to contribute to open-source projects and you’ll develop expertise across the full ML lifecycle while working with cutting-edge personalization technologies. MLP and Model Development and Management teams are working with various teams at Netflix, and this role will mainly focus on personalization models. You’ll gather requirements, design, and implement products that help accelerate model development for personalization use cases. You’ll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve Metaflow and the Machine Learning Platform in general. You will also partner with the OSS Metaflow development community to ensure a mutually beneficial roadmap and relationship.

Requirements

• Experience developing platform solutions tailored for ML Researchers, ML Engineers, and Data Scientists.
• Excellent software design and development skills in Python along with one of Scala, Java, C++.
• Experience working with state-of-the-art ML model development in domains such as recommendation model development, content understanding, or content generation.
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.
• 5+ years of full-time software engineering or machine learning experience with a bachelor’s and master’s degree; or PhD degree.

Nice To Haves

• Experience building machine learning models or LLMs.
• Experience with deep learning frameworks, such as TensorFlow, PyTorch, etc.
• Experience working with public clouds, especially AWS.
• Significant contributions to open source projects.

Responsibilities

• Gather requirements, design, and implement products that help accelerate model development for personalization use cases.
• Engage with the ML community to source feedback and identify pain points.
• Collaborate with applied researchers and data scientists on machine learning projects.
• Contribute to open-source projects related to machine learning infrastructure.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees