Netflix is seeking a senior machine learning scientist to develop and deploy scalable ML solutions that inform content strategy and performance. The role involves collaborating with content strategy and analytics teams to enhance decision-making through innovative predictive models.

• Ability to navigate ambiguous problem spaces and translate them into practical technical solutions using Machine Learning.
• Exceptional communication skills to explain complex technical concepts to cross-functional partners.
• Deep familiarity with the ML lifecycle and strong technical judgment for deploying models in production.
• Passion for scaling ML solutions collaboratively and building modularly for resilience.
• Strong experience in Python and ML/DL frameworks like scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, or JAX.
• Advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related field focused on machine learning.
• Relevant experience in one or more machine learning roles.
• Appreciation of the creative and entertainment industry is a plus.

• Innovate on predictive models to inform content strategy.
• Act as a thought partner with content strategy teams to evolve content valuation and scheduling.
• Collaborate with analytics teams leveraging models in the US and globally.
• Own the end-to-end ML model development lifecycle from ideation to continuous improvement.
• Influence data and ML infrastructure development through partnerships with data engineers and ML Ops teams.
• Contribute to improving the company culture while living Netflix values.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.