Netflix is seeking a senior engineer with expertise in distributed model training to enhance the architecture of their training platform. The role focuses on improving performance and reliability for large training jobs while building user-friendly experiences for machine learning engineers. The team works with cutting-edge technologies like Kubernetes, Ray clusters, and PyTorch. The ideal candidate will collaborate with various teams to drive technical discussions and deliver impactful solutions.

• Deep expertise in distributed model training and systems for operating at scale.
• Experience with cloud computing providers, preferably AWS.
• Strong technical depth and sound engineering judgment.
• Excellent written and verbal communication skills.
• Comfortable working in a team across multiple geographies and time zones.

• Design and build the platform for large-scale machine learning model training and evaluations.
• Co-design and optimize systems to enhance the cost-effectiveness of model training.
• Create easy-to-use APIs and interfaces for both experienced ML practitioners and non-experts.
• Diagnose and optimize the performance of large distributed training jobs.
• Adopt and promote best practices in operations, including observability and logging.

• 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.