The role of a machine learning scientist in Media Planning at Netflix involves working within the Demand Science team to enhance advertiser demand through ML models and AI agents. This position focuses on transforming advertiser briefs into optimized media plans while collaborating with scientists and engineers. The ideal candidate is a curious generalist eager to learn and contribute to various ML domains. The role emphasizes building and iterating on systems that improve decision quality over time.

• Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Experience building and shipping ML models or systems in production.
• Proficient in Python and SQL.
• Strong collaboration skills and ability to work alongside others.
• Comfortable with ambiguity and able to take ownership with minimal oversight.

• Design and ship production ML models and conversational AI agents that parse advertiser requests.
• Build and evolve systems that evaluate and improve agent and model decision quality over time.
• Partner with scientists and engineers to ship and iterate on new capabilities.
• Dig into ambiguous problems, propose approaches, and drive them from idea to production.
• Iterate on launched models and agents based on performance data and seller feedback.
• Communicate clearly with both technical and non-technical stakeholders.

• 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.