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, youll help shape the future of ML infrastructure at Netflix, with opportunities to contribute to open-source projects and youll 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. Youll gather requirements, design, and implement products that help accelerate model development for personalization use cases. Youll 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. 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, be a good communicator, and work well in large cross-functional teams. What we are looking for: 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 bachelors and masters degree; or PhD degree.  Preferred, but not required additional areas of experience: Experience building machine learning models or LLMs Experience designing or building agentic systems. Experience working with public clouds, especially AWS. Significant contributions to open source projects. More information 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. 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. See more details about our Benefits here.