[Remote] Machine Learning Scientist 5 - Sales, Ads DSE

Note: The job is a remote job and is open to candidates in USA. Netflix is a leading entertainment company dedicated to pushing the boundaries of storytelling and technology. They are seeking a Machine Learning Scientist to lead the technical vision and execution of AI and ML initiatives within the Sales pod, focusing on enhancing sales productivity and automation.

Responsibilities

• Define the AI/ML investment roadmap for the Sales pod in close partnership with product and engineering, identifying where data science can drive the most meaningful improvements in Sales productivity and revenue outcomes
• 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, with a clear eye on measurable business impact
• Serve as a senior technical voice in cross-functional discussions, communicating clearly with both technical and non-technical stakeholders

Skills

• 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 — not just executing on defined projects, but identifying the right problems to solve and driving them from idea to measurable impact
• 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 — you can operate effectively in a space where the path isn't always laid out for you
• Excellent communication skills with both technical and non-technical audiences, paired with the curiosity and user empathy to understand Sales pain points and needs
• Proficiency in Python and SQL for building ML pipelines and models
• Experience with LLMs, AI, or agentic systems is a bonus, but not required, given how new these fields are - we think candidates with strong ML product-building experience willing to learn into AI can also be highly successful in this role
• The Netflix Culture Memo resonates with you

Benefits

• Health Plans
• Mental Health support
• A 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

Company Overview

Company H1B Sponsorship