Netflix
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.
Revolutionizing the way people watch TV shows and movies!
Software Engineer - LLM Compute & Serving Systems
January 6
🇺🇸 United States – Remote
💵 $100k - $720k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Netflix
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.
Revolutionizing the way people watch TV shows and movies!
📋 Description
• Netflix is the world's leading streaming entertainment service. • The Consumer ML Serving team provides the computational platform for all consumer-facing ML/AI applications. • We build model serving infrastructure for LLMs and other large foundation models. • Looking for a strong senior engineer to own and develop our long-term vision. • Partnering with engineers, product managers, and data/research scientists. • Passionate about building scalable, robust systems and applying ML algorithms.
🎯 Requirements
• Building and operating high-traffic, real-time distributed systems and ML serving infrastructure for LLMs and other large foundation models. • Supporting large-scale ML models with a direct impact on what customers see. • Translating the requirements of research scientists into generic platform offerings. • Delivering systems requiring high availability, throughput, and performance. • Navigating highly ambiguous environments. • Taking on and executing zero-to-one projects. • Leading projects with 3-4 other engineers. • Building applications in an object-oriented programming language. • DevOps for large applications, including performance tuning, optimization, deployment management, and capacity planning. • Public cloud like AWS, Azure, or GCP.
🏖️ Benefits
• 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 • Flexible time off
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