Machine Learning Engineer, NVH at Tesla

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)

, Tesla