
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.
November 2
đşđ¸ United States â Remote
đľ $100k - $720k / year
â° Full Time
đĄ Mid-level
đ Senior
đ¤ Machine Learning Engineer
đŚ 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.
⢠Collaborate with cross-functional teams including researchers, engineers, data scientists, and product managers ⢠Develop and implement machine learning algorithms to improve personalization and recommendations ⢠Create scalable, production-ready ML solutions ⢠Optimize performance and scalability of machine learning models ⢠Design and conduct offline experiments and A/B tests ⢠Contribute to the ongoing improvement of ML infrastructure and tooling ⢠Engage in continuous learning and development
⢠5+ years of experience in applying machine learning in an industrial setting ⢠PhD or Masters in Computer Science, Statistics, or a related field ⢠Expertise in machine learning algorithms and frameworks ⢠Hands-on experience in training, tuning, and deploying models in production environments ⢠Excellent software design and development skills in Python along with Scala, Java, C++, or C# ⢠Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation, RLHF reward modeling/alignment
⢠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 ⢠35 days annually for paid time off
Apply NowNovember 1
11 - 50
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đşđ¸ United States â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ¤ Machine Learning Engineer
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