Machine Learning Scientist 5 - Sales, Ads DSE

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated ML lead for Sales productivity and automation within the Sales pod, you would partner closely with Product Managers, Engineers, and Sales stakeholders to identify where AI can drive the most impact — and then build it. We're looking for someone who can identify the highest-leverage opportunities, propose solutions, and drive them end-to-end to transform how Netflix 's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace. The Scope As the ML lead for Sales productivity and automation, you'll own the technical vision and execution across areas such as: Workflow Automation: In partnership with Product, identify and automate high-friction points in the Sales workflow to reduce delays, eliminate manual work, and improve accuracy — so sellers spend less time on process and more time on selling. AI-Augmented Selling: Design and deploy AI agents and assistants that make selling faster and more effective — automating where possible and helping sellers prepare for client conversations, respond to RFPs, and close higher-value deals more quickly. What You’ll Do 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. Who You Are 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 Memoresonates with you. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled. Originally posted on Himalayas