Sr. Machine Learning Engineer, Cell Manufacturing

Senior Machine Learning Engineer in Tesla's Global Cell Manufacturing Analytics at Giga Texas, based in Austin, TX (onsite), applying advanced ML to high-volume sensor and time-series data to optimize yield, quality, and production efficiency in cell manufacturing.

Responsibilities

• Develop and productionize machine learning models for core manufacturing challenges such as defect detection, anomaly identification, yield forecasting, and process optimization
• Perform rigorous statistical analysis and feature engineering on complex time-series, sensor, and process datasets while preventing temporal or batch leakage
• Deliver end-to-end ML solutions, including validation frameworks, drift monitoring, conditional retraining, and metrics tied to factory cost and performance
• Collaborate with process, quality, and materials experts to ensure models are grounded and deliver durable, scalable 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

Technologies

• PyTorch

Benefits

• Medical plans with multiple options and zero payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans with zero paycheck contribution options
• Company paid 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 and AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and vacation time, flexible time for salaried positions, accrued hours for hourly positions, and paid holidays
• Back-up childcare and parenting support resources
• Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
• Weight loss and tobacco cessation programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

What to Expect

Tesla rethinks battery manufacturing from first principles and seeks engineers who combine strong technical fundamentals with a research mindset to translate theory and statistics into real 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.