Machine Learning Engineer, Battery Manufacturing Development, Optimus

What to Expect

Tesla is looking to hire a Machine Learning Engineer to contribute to the development of the data factory and manufacturing software services for our cutting-edge battery products. This position will help drive technological advancement by delivering data and software solutions to solve high-volume manufacturing problems. Battery development is at the heart of Tesla’s mission, and this is an exciting opportunity to address the central challenges in scaling electric vehicle manufacturing while seeing the physical impact of your work. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects.  

What You’ll Do

• Leverage large-scale manufacturing data systems to extract key improvement insights and facilitate engineering investigations 

• Develop robust and scalable algorithms/ predictive models to improve manufacturing process and quality control capabilities  

• Collaborate with Software Engineers and Controls Engineers to seamlessly integrate models, algorithms, and LLM-based workflows into production processes 

• Develop and experiment with data acquisition and processing workflows to extract, clean, and store manufacturing process knowledge from structured and unstructured sources (e.g., logs, work instructions, failure reports) as high-quality context for RAG and LLM applications 

• Build self-serve data tools to empower data-driven manufacturing   

• Clearly convey analyses and findings for cross-functional stakeholders  

What You’ll Bring

• Strong experience with Python and SQL database queries 

• Proficiency with large volume data preprocessing and data wrangling  

• Strong mathematical/ statistical knowledge relevant to process control and monitoring  

• Experience with data warehouse and data lake technologies such as Clickhouse, S3 

• Experience with modern machine learning concepts and ML lifecycles 

• Proficiency with data visualization techniques and tools using Tableau, R Shiny, Python Dash, Plotly, etc. 

• Degree in quantitative fields such as Statistics, Data Science, Applied Mathematics, or equivalent experience

Compensation and Benefits

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