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
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
Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.