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Netflix is seeking a Machine Learning Engineer for their Studio Media Algorithms team, focusing on MLOps and performance optimization in gaming technologies. The role involves developing efficient deployment strategies for AI-driven game concepts and requires strong technical expertise in machine learning and a passion for the gaming industry.
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Job Summary
The role focuses on bridging the gap between research and production by building robust MLOps pipelines for emerging game technologies.
Candidates will optimize model performance across cloud GPUs and edge devices to ensure low-latency execution in game runtimes.
Netflix offers a unique compensation structure where employees choose their mix of salary versus stock options annually.
Matching Summary
Match Score: 75
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Netflix is seeking a Machine Learning Engineer for their Studio Media Algorithms team, focusing on MLOps and performance optimization in gaming technologies. The role involves developing efficient deployment strategies for AI-driven game concepts and requires strong technical expertise in machine learning and a passion for the gaming industry.
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Salary
Base: $466,000.00 - $750,000.00; Bonus/Equity: Not specified (salary vs stock choice); Benefits: Comprehensive health plans, 401(k) match, flexible time off
Skills & Requirements
Must-have
MLOps pipeline development
Cloud GPU and edge device profiling
PyTorch or TensorFlow framework proficiency
Model quantization and precision tuning
CI/CD for machine learning systems
Nice-to-have
Experience with Unity or Unreal Engine
iOS or Android edge deployment experience
Knowledge of MLIR or LLVM compilers
Passion for video game industry innovation
Model distillation and pruning techniques
Key Requirements
Proven experience productionizing ML models in cloud environments
Strong software engineering skills for production systems
Familiarity with CUDA-based runtimes and tools like TensorRT