
10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
🕒 June 27
🇺🇸 United States – Remote
💵 $466k - $750k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
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10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
• Define the AI/ML investment roadmap for the Sales pod in close partnership with product and engineering • Design, build, and deploy production ML models, AI agents, and automation systems end-to-end • Partner with Analytics Engineers to build the metrics, measurement pipelines, and reporting that guide investment decisions and track product performance • Iterate on launched products based on performance data and seller feedback • Serve as a senior technical voice in cross-functional discussions
• Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field • Track record of independently scoping and leading end-to-end ML projects in production environments • Strong strategic acumen: the ability to understand business objectives deeply and translate them into a prioritized technical roadmap • Comfort with ambiguity and a proactive, curious approach to problem-solving • Excellent communication skills with both technical and non-technical audiences • Proficiency in Python and SQL for building ML pipelines and models • Experience with LLMs, AI, or agentic systems is a bonus, but not required
• 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
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