Machine Learning Engineer, NVH

Machine Learning Engineer, NVH Tesla Motors, Inc. 124,000 - 210,000 USD paid holidays, flex time, 401(k) United States, California, Fremont Jun 12, 2026
What to Expect Tesla's Noise, Vibration, and Harshness (NVH) team is seeking a passionate and skilled Machine Learning Engineer to help define the future of diagnostics for Tesla's products. You will work at the intersection of deep learning research and real-world manufacturing deployment, building systems that directly impact product quality and customer experience at scale. What You'll Do
Design, develop, and deploy machine learning models and audio algorithms for advanced NVH diagnostics across Tesla's vehicle and product lineup
Build and maintain end-to-end ML pipelines - from raw audio data ingestion and preprocessing to model training, evaluation, and production deployment
Collaborate cross-functionally with manufacturing, quality audit, and vehicle engineering teams to integrate diagnostic algorithms into Tesla's production lines
Drive continuous improvement of model performance through rigorous experimentation, iteration, and ablation studies
Develop tooling and frameworks to streamline data collection, labeling, and model monitoring in a production environment
Contribute to defining best practices in ML engineering, including code quality, testing, reproducibility, and documentation
Stay current with state-of-the-art research in audio ML, signal processing, and
deep learning; identify and apply relevant advancements to Tesla's challenges What You'll Bring
Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field, or equivalent experience
Strong proficiency in Python and C++, with demonstrated software engineering best practices (version control, testing, code review, etc.)
Deep understanding of machine learning fundamentals: neural network architectures, loss functions, optimization strategies, regularization, and model evaluation
Hands-on experience with neural network architectures for audio, including CNNs, RNNs, Transformers, and models tailored for event detection and classification
Proficiency with PyTorch or another major deep learning framework (e.g.,TensorFlow) 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
Expected Compensation
$124,000 - $210,000/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.