Machine Learning Engineer, NVH

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)

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 - $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.

, Tesla