Sr. Machine Learning Engineer, Cell Manufacturing

Description:
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.

Responsibilities:
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

Requirements:
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 & 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