
B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
May 13
🇺🇸 United States – Remote
đź’µ $100k - $720k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor

B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
• Develop and expand compute infrastructure to support growing AI needs • Enable application of ML in new business areas • Drive ML/AI innovation across Netflix • Collaborate with engineers, product managers, and data/research scientists • Build scalable and robust systems for critical ML initiatives
• Experience building high-traffic distributed services and infrastructure for online ML model inference • Familiar with supporting large-scale ML models focusing on high availability and performance • Understand scalable model-serving solutions for generative models and LLMs, with skills in reducing latency and costs • Solve bottlenecks to streamline research-to-production workflows • Proficient in object-oriented programming (preferably Java) • Demonstrate engineering excellence in production hosting, including performance tuning, deployment management, and capacity planning • Familiar with deploying ML models using tools like Triton Inference Server, TensorRT, Docker • Experienced working with the public cloud like AWS, Azure, or GCP • Proactive communicator who promotes best practices in observability and logging
• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off • Full-time salaried employees are immediately entitled to flexible time off
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