> Markdown version of [/jobs/ext/1919084-machine-learning-modeling-engineer-cell-manufacturing](https://www.wearedevelopers.com/jobs/ext/1919084-machine-learning-modeling-engineer-cell-manufacturing). 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 Modeling Engineer , Cell Manufacturing - **Company:** Tesla Motors - **Location:** Fremont, CA, United States - **Experience:** Expert - **Salary:** $91,600.0 - $195,600.0 - **Contract:** Permanent contract - **Skills:** Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Reinforcement Learning, Pytorch, Model Validation, Scikit Learn - **Published:** August 4, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17808872?backUrl=%2Fcareer%2F17808872%2FMachine-Learning-Modeling-Engineer-Cell-Manufacturing-California-Fremont ## About the Role * Evidence of exceptional ability, including a strong understanding of ML fundamentals and demonstrated ability to apply them to real-world, large-scale engineering problems * 5+ years of hands-on experience in machine learning, data science, or a related field,preferably in a manufacturing or industrial setting * Ph.D.in Chemical Engineering,Mechanical Engineering, Applied Mathematics, or equivalent experience * Strong proficiency in Python and ML frameworks such as TensorFlow,PyTorch, or scikit-learn * Experience with time-series data modeling, anomaly detection, and predictive analytics * Solid understanding of data engineering principles, including SQL, ETL pipelines, and working with production databases * Familiarity with statistical modeling, experimental design, and model evaluation techniques * Strong written and spoken English communication skills * Ability to manage multiple projects simultaneously and work effectively under pressure in a fast-paced environment ## Description You will work closely with process development, equipment design, and data engineering teams to build intelligent models that drive deeper understanding of cell electrochemical reactions and unlock next-generation improvements in cell production quality, yield, and efficiency. What You'll Do * Design, develop, and deploy end-to-end machine learning models and pipelines for cell manufacturing process optimization * Build and maintain thedesign/process modelingframeworks, integrating data from multiple process stages into unified predictive and prescriptive models * Collaborate with process engineers to identify high-impact ML use cases across cell production steps * Developphysics-informedmachine learning models that incorporate electrochemical domain knowledge * Work with large-scale manufacturing datasets using Python, SQL, and distributed computing frameworks * Build and maintain data pipelines that interface with Tesla's Manufacturing Execution System (MES) and production databases * Develop digital twin models to simulate process behavior and test control logic under various operating conditions * Apply anomaly detection, time-series forecasting, and reinforcement learning techniques to improve process stability and uptime * Create intuitive dashboards and visualizations to communicate model outputs to engineering and operations stakeholders * Establish model validation frameworks, monitor model performance in production, and drive continuous improvement ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [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) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [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) - [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) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)