Netflix is seeking a Software Engineer to join the Training Platform team within the Machine Learning Platform organization. The role focuses on designing and building scalable machine learning infrastructure to support various ML use cases across the company, enhancing personalization and content demand modeling.

• Experience in ML engineering on production systems dealing with training or inference of deep learning models.
• Proven track record of building and operating large-scale infrastructure for machine learning use cases.
• Experience with cloud computing providers, preferably AWS.
• Comfortable with ambiguity and working across multiple layers of the tech stack.
• Adopt and promote best practices in operations, including observability, logging, reporting, and on-call processes.
• Excellent written and verbal communication skills.
• Comfortable working in a team with peers and partners distributed across geographies & time zones.

• Design and build the platform that powers large-scale machine learning model training, fine-tuning, model transformation and evaluations workflows.
• Co-design and optimize the systems and models to scale up and increase the cost-effectiveness of machine learning model training.
• Design easy-to-use APIs and interfaces for experienced ML practitioners and non-experts.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.