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!
January 9
πΊπΈ United States β Remote
π΅ $100k - $720k / year
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
π¦ H1B Visa Sponsor
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!
β’ Build a next-generation ML data and feature platform β’ Enable ML practitioners to easily define and test ML features and labels β’ Build a centralized feature and embedding store for sharing across ML domains β’ Collaborate closely with ML practitioners and domain experts β’ Design and build a near-real-time feature computation engine β’ Operate and manage feature computation pipelines and infrastructure β’ Build and scale systems to accelerate training through performant data loading β’ Create frameworks to streamline the availability of new data for training β’ Develop feature stores that enable feature discovery and sharing β’ Increase productivity of ML practitioners by simplifying access to features and labels
β’ Experience in building ML or data infrastructure β’ Strong empathy and passion for providing a fantastic user experience to ML practitioners β’ Experience in building and operating 24/7 high-traffic and low-latency online applications β’ Experience with large-scale data processing frameworks such as Spark, Flink, and Kafka β’ Experience in working with and optimizing Scala and/or Python codebases β’ Experience with public clouds, especially AWS β’ Experience in building and operating ML feature stores (preferred) β’ Experience with Functional Programming (preferred) β’ Experience working with Notebooks such as Jupyter or Polynote (preferred)
β’ Health Plans β’ Mental Health support β’ 401(k) Retirement Plan with employer match β’ Stock Option Program β’ Disability Programs β’ Health Savings and Flexible Spending Accounts β’ Family-forming benefits β’ Life and serious injury benefits β’ Paid leave of absence programs β’ Flexible time off
Apply NowJanuary 9
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π¦ H1B Visa Sponsor
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