
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
July 1
🇺🇸 United States – Remote
💵 $100k - $720k / year
⏰ Full Time
🟡 Mid-level
🟠 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
💰 $20M Post-IPO Equity on 2022-01
• Design and build the platform that powers large-scale machine learning model training, fine-tuning, model transformation and evaluations workflows and use cases from the entire company. • Co-design and optimize the systems and models to scale up and increase the cost-effectiveness of machine learning model training. • Design easy-to-use APIs and interfaces for experienced ML practitioners, as well as non-experts to easy access the training platform.
• Experience in ML engineering on production systems dealing with training or inference of deep learning models. • Proven track record of building and operating large-scale infrastructure for machine learning use cases. • Experience with cloud computing providers, preferably AWS. • Comfortable with ambiguity and working across multiple layers of the tech stack to execute on both 0-to-1 and 1-to-100 projects. • Adopt and promote best practices in operations, including observability, logging, reporting, and on-call processes to ensure engineering excellence. • Excellent written and verbal communication skills. • Comfortable working in a team with peers and partners distributed across (US) geographies & time zones.
• 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 • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. • Full-time salaried employees are immediately entitled to flexible time off.
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