Sr. Machine Learning Engineer, Cell Manufacturing

Build your Career at Tesla

Go to search

Sr. Machine Learning Engineer, Cell Manufacturing

| Job Category | Manufacturing | | Location | AUSTIN, Texas | | Req. ID | 266247 | | Job Type | Full-time |

What to Expect

Tesla is re-thinking battery manufacturing from first principles. We are seeking research-minded engineers with strong technical fundamentals who can bridge rigorous theory and statistical methods with real-world factory impact.

You will be part of the Global Cell Manufacturing Analytics team at Giga Texas, supporting factories across North America and Europe. In this role you will apply advanced machine learning to high-volume sensor and time-series data to optimize yield, quality, and production efficiency.

What You’ll Do

• Develop and productionize ML models for key manufacturing problems such as defect detection, anomaly identification, yield forecasting, and process optimization
• Conduct in-depth statistical analysis and feature engineering on complex time-series, sensors, and process datasets while preventing issues like temporal or batch leakage
• Implement full-lifecycle solutions including validation frameworks, drift monitoring, conditional retraining, and metrics linked to factory cost and performance
• Collaborate cross-functionally with process, quality, and materials experts to ensure models are grounded and deliver sustainable results

What You’ll Bring

• Degree in a quantitative field such as Applied Mathematics, Physics, Electrical/Systems Engineering, Statistics, Machine Learning, or equivalent experience
• 3+ years of relevant experience applying ML to complex, sensor-rich, or data-intensive problems (research, industrial, or scientific environments preferred)
• Research-oriented mindset with proven experience applying strong ML and statistical fundamentals to challenging data-intensive problems
• Proficiency in PyTorch or equivalent for scientific modeling, going well beyond basic tabular models; experience with vision models preferred
• Hands-on expertise across the full ML lifecycle, including temporal validation, leakage prevention, class imbalance, and production monitoring
• Strong communication skills and the ability to rapidly absorb manufacturing domain knowledge
• Demonstrated research or publication record in ML for complex systems or sensor data (strongly preferred)
• Experience with industrial or physical datasets in manufacturing, energy, or semiconductor environments (preferred)
• Familiarity with optimization or physics-informed modeling (preferred)
• Industrial manufacturing experience is a plus but not required

Compensation and Benefits

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

• Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, 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.

For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact ADA@tesla.com for ADA related questions or to request ADA accommodations.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice.