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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Scientist 5 - Sales, Ads DSE - **Company:** Netflix, Inc. - **Location:** Circle, AK, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Multi-Agent Systems, Information Technology, Machine Learning Operations - **Published:** August 9, 2026 - **Apply:** https://www.workingnomads.com/job/go/1779899/ ## About the Role * 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. ## Description 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)