> Markdown version of [/jobs/ext/1892568-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1892568-machine-learning-engineer). 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 - **Company:** Tubi, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $239,000.0 - $342,000.0 - **Contract:** Permanent contract - **Skills:** Algorithm Design, Data Mining, Design of User Interfaces, Human-Computer Interaction, Statistical Hypothesis Testing, Machine Learning, Regression Analysis, Performance Tuning, Recommender Systems, Regression Testing, Tensorflow, Pytorch, Deep Learning, Build Management, Information Technology, Machine Learning Operations - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-staff-principal-san-francisco-ca--ed5b8c68-a7ed-4da4-88b9-3234607e6d1d ## About the Role * 8+ years of industry experience building production Machine Learning systems * MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field * Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks * Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment. * Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning. * Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions., Algorithms, Analysis Skills, Computer Science, Cross-Functional, Data Mining, Data Modeling, Data Science, Deep Learning, Incentive Programs, Machine Learning, Mathematics, Performance Analysis, Performance Metrics, Performance Modeling, Performance Reviews, Performance Tuning/Optimization, Process Improvement, Product Engineering, Production Machining, Production Systems, Regression Testing, Statistics, Test Plan/Schedule, Testing, User Interface/Experience (UI/UX) ## Description The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming., We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. What You'll Do: * Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience * Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas * Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment * Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. * Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement ## Related Videos - [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) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Top Tech YouTube Channels for Developers in 2023](https://www.wearedevelopers.com/magazine/261-top-tech-youtube-channels-for-developers-in-2023)