
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 28
🏄 California, New York – 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.
• Design and implement machine learning and optimization algorithms to improve ad quality and performance. • Build, train, and evaluate models on large-scale production data. • Develop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements. • Partner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals. • Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions.
• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field • Proficiency in Python, Scala or Java • Deep knowledge of machine learning, optimization, and data analysis techniques • Experience with prototyping and deploying algorithms using large-scale production data • Strong business acumen and ability to translate technical results into business impact • Experience in ad optimization stack, e.g. targeting, ranking, bidding. • Excellent communication and collaboration skills.
• 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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