Machine Learning Engineer, NVH — Production Diagnostics

Tobermory; Richmond Hill; On-site; CAD 76,000 - 138,000; Full time

Benefits offered by this job

Health coverage

Dental care

Vision coverage

Life insurance

Disability protection

RRSP matching contributions

Employee stock purchase plan

Employee assistance resources

Parental support programs

Paid sick leave

Vacation time

Paid holidays

Tesla family benefits

Product savings

Wellness discounts

Employee rewards

Job summary

Tesla in Richmond Hill, Ontario is seeking a Machine Learning Engineer, NVH to develop diagnostic models, maintain data pipelines, and deploy ML solutions from lab to production across vehicles and related technologies.

You will collaborate with manufacturing, quality, and vehicle engineering teams to apply ML, audio processing and deep learning to detect issues early, optimize tests, and improve overall product quality at scale while contributing to cutting-edge hardware and software

Qualifications

• Degree in CS/CE/EE or data science or equivalent work background.
• Proficient in Python and C++.
• Strong software engineering practices including version control, testing and code review.
• Strong knowledge of ML fundamentals including neural networks, optimization methods, regularization and model evaluation.
• Experience with neural network architectures for audio applications (CNNs, RNNs, Transformers).

Responsibilities

• Design, develop and deploy machine learning models and audio algorithms for NVH diagnostics.
• Build and maintain machine learning pipelines from data collection through production deployment.
• Work with manufacturing, quality audit and vehicle engineering teams to integrate diagnostic systems.
• Improve model performance through testing, experimentation and iterative development.
• Develop tools and frameworks for collecting data, labeling and model monitoring.
• Work to develop coding standards, testing practices, documentation and reproducibility.
• Review developments in audio machine learning, signal processing and deep learning.
• Apply relevant research advancements to Tesla’s diagnostic challenges.

Skills

Python

C++

ML fundamentals

Software engineering practices

Data pipelines

Education

Degree in CS/CE/EE/Data Science or related field

Tools

PyTorch

TensorFlow

Job description

Tesla in Richmond Hill, Ontario is seeking a Machine Learning Engineer, NVH to develop diagnostic models, maintain data pipelines, and deploy ML solutions from lab to production across vehicles and related technologies.

You will collaborate with manufacturing, quality, and vehicle engineering teams to apply ML, audio processing and deep learning to detect issues early, optimize tests, and improve overall product quality at scale while contributing to cutting-edge hardware and software