Software Engineer 4/5 - Model Development and Management, AI Platform

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what’s next.

Netflix is the world's leading streaming entertainment service with 300M+ paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Machine Learning drives innovation across all product functions and decision support needs. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

We are seeking an ambitious software engineer to join the Model Development and Management team, that is building the user interface layer for Netflix’s AI Platform 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 technologies.

AI Platform and Model Development and Management team are working with various teams at Netflix. You’ll gather requirements, design, and implement products that help accelerate model development for different ML 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 our platform.

To be successful in this role, you must have a strong software engineering background, a keen sense of software design, have proven experience with distributed applications and ML systems, be a good communicator, and work well in large cross-functional teams.

• Experience developing platform solutions - SDKs, developer frameworks, or internal tooling used by ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-first approach and demonstrating strong user empathy.

• Excellent software design and development skills in Python along with one of Scala, Java, C++.

• Experience working on or alongside modern, large-scale ML services. You understand the full lifecycle from data and features to training, experiment tracking, and production deployment, and can build tooling that makes that lifecycle faster and more reliable.

• Familiarity with ML workflow orchestration, experiment tracking, or feature/data infrastructure — ideally with tools like Metaflow, Airflow, Kubeflow, MLflow, or similar.

• 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.

To learn more about the work we do to check if it aligns with your interests, check the following articles:

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. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.

The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Job is open for no less than 7 days and will be removed when the position is filled.