
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.
- employees
Founded 1997
👥 B2C
🛍️ eCommerce
📱 Media
💰 $20M Post-IPO Equity on 2022-01
January 9
🇺🇸 United States – Remote
💵 $100k - $720k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack 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.
- employees
Founded 1997
👥 B2C
🛍️ eCommerce
📱 Media
💰 $20M Post-IPO Equity on 2022-01
• Build a next-generation ML data and feature platform • Enable ML practitioners to easily define and test ML features and labels • Build a centralized feature and embedding store for sharing across ML domains • Collaborate closely with ML practitioners and domain experts • Design and build a near-real-time feature computation engine • Operate and manage feature computation pipelines and infrastructure • Build and scale systems to accelerate training through performant data loading • Create frameworks to streamline the availability of new data for training • Develop feature stores that enable feature discovery and sharing • Increase productivity of ML practitioners by simplifying access to features and labels
• Experience in building ML or data infrastructure • Strong empathy and passion for providing a fantastic user experience to ML practitioners • Experience in building and operating 24/7 high-traffic and low-latency online applications • Experience with large-scale data processing frameworks such as Spark, Flink, and Kafka • Experience in working with and optimizing Scala and/or Python codebases • Experience with public clouds, especially AWS • Experience in building and operating ML feature stores (preferred) • Experience with Functional Programming (preferred) • Experience working with Notebooks such as Jupyter or Polynote (preferred)
• 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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