What To Expect
The Tesla Energy Products Field Quality team is looking for a passionate and collaborative Machine Learning Engineer to bridge large-scale fleet data to system-based modeling & analytical efforts across the Tesla Energy portfolio: Industrial, Residential, Supercharger, and Solar.
You will work across the systems engineering ecosystem - building the shared data and AI/ML foundations that system teams depend on. Where our first-principles models tell us how a system should behave, you will help quantify how the fleet actually behaves, and turn that signal into better models, faster investigations, and earlier detection of issues in the field. You will help establish a unified fleet data layer and a consistent ML standard that systems teams can build on.
What You'll Do
Develop ML and statistical methods that improve how we understand fleet behavior - from augmenting first-principles system models to detecting anomalies and emerging failure trends across energy products
Help build a unified fleet data layer and ingestion foundation that system teams can consume
Model the gap between expected and observed fleet behavior and turn it into actionable signal for systems teams
Quantify uncertainty so teams across the ecosystem can reason about risk with statistical rigor
Establish a consistent AI/ML and data standard - training, evaluation, validation, and tooling - applied cohesively across systems engineering teams
Partner across disciplines so knowledge, methods, and integrations evolve through multi-disciplinary feedback and a shared source of fleet truth
What You'll Bring
Strong quantitative foundation - physics, applied math, or a related engineering discipline - with the ability to reason about physical systems from first principles
Strong ML fundamentals: model development, training, evaluation, and a real understanding of when and why models work
Experience with physics-informed or scientific ML (e.g., physics-informed neural networks, surrogate/data-driven modeling, differentiable simulation, system identification) - or a clear aptitude and excitement to work there
Strong Python in a scientific/ML setting (NumPy, pandas, PyTorch/JAX or similar; visualization tools as needed)
Experience with uncertainty quantification, probabilistic modeling & time-series analysis
Comfort working with large-scale data and the pipelines/tooling needed to make it model-ready (SQL, Spark, and similar)
Software fundamentals: version control (Git), and familiarity with CI/CD and containerization (Docker, Kubernetes)
A collaborative, first-principles mindset, and the drive to tackle fundamental, open-ended problems
Benefits
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
Expected Compensation
$124,000 - $258,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
, Tesla
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