
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
đź’° $20M Post-IPO Equity on 2022-01
Yesterday
🇺🇸 United States – Remote
đź’µ $170k - $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.
- employees
Founded 1997
👥 B2C
🛍️ eCommerce
📱 Media
đź’° $20M Post-IPO Equity on 2022-01
• Design, train/post-train/fine-tune, and evaluate foundational algorithmic solutions with applications in a variety of domains in the VFX, animation, and games space • Develop reusable foundational components and best practices, such as dataset curation, large-scale training, and post-training processes • Work cross-functionally with engineers, scientists, artists, and product leaders to help identify and prioritize strategic research investment opportunities and problem requirements • Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve
• Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, CG, or NLP venues • Deep familiarity with modern generative model architectures, including diffusion models (e.g., MMDiT) and/or autoregressive models (e.g., GPT-style) • Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques (e.g., fine-tuning, RL), and/or robust evaluation • Expertise in designing and training deep learning (DL) architectures for media understanding and generation • Deep mathematical skills with knowledge of statistical methods and optimization • Extensive experience with DL frameworks such as Tensorflow or PyTorch • Strong programming skills in languages such as Python, Java, or C++ • Advanced degree in Computer Science or related field
• Inclusion is a Netflix value • Flexible work arrangements
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