> Markdown version of [/jobs/ext/2083423-machine-learning-engineer-relevance-and-personalization-query-intelligence](https://www.wearedevelopers.com/jobs/ext/2083423-machine-learning-engineer-relevance-and-personalization-query-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Relevance and Personalization (Query Intelligence) - **Company:** Netflix, Inc. - **Location:** State College, PA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Data Analysis, Python (Programming Language), Machine Learning, Operational Databases, Information Technology, Optimization Algorithms - **Published:** August 16, 2026 - **Apply:** https://www.workingnomads.com/job/go/1795206/ ## About the Role * Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field. * Proficiency in Python, Scala or Java. * Deep knowledge of machine learning, optimization, and data analysis techniques. * Experience with prototyping and deploying algorithms using large-scale production data. * Strong business acumen and ability to translate technical results into business impact. * Experience in ad optimization stack, e.g. targeting, ranking, bidding.. * Excellent communication and collaboration skills. ## Description * Design and implement machine learning and optimization algorithms to improve ad quality and performance. * Build, train, and evaluate models on large-scale production data. * Develop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements. * Partner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals. * Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions. ## 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) - [Databases on Kubernetes: Why you should care](https://www.wearedevelopers.com/videos/74-databases-on-kubernetes-why-you-should-care) - [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) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)