Machine Learning Modeling Engineer , Cell Manufacturing

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

• 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

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Expected Compensation $91,600 - $195,600/annual salary + cash and stock awards + benefits