Machine Learning Engineer

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

Machine Learning Engineer, NVH develops advanced machine learning systems that help Tesla improve product diagnostics and quality across its vehicles and technologies. Based in Richmond Hill, this role combines artificial intelligence, audio processing and engineering to create tools that support manufacturing and customer satisfaction.

The role is about building diagnostic models, managing those data pipelines and getting machine learning solutions out of the lab and into real production environments. You will work across teams in manufacturing, quality and vehicle engineering and the work feeds straight into how Tesla spots product issues and tackles them at scale.

Tesla gives you the chance to engage with tough technology that really affects its products and customers world wide. Check the job details below to get more context.

Company Name : Tesla
Location : Richmond Hill, Ontario, Canada
Salary : $76,000 – $138,000/annually
Job Type : Full time
Start date : As soon as possible
Benefits : 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 and additional employee rewards.

Job Description

• Machine Learning Engineer, NVH is a machine learning and software engineering role within Tesla’s Noise, Vibration and Harshness team.
• This is a full time position based in Richmond Hill, Ontario.
• The role focuses on developing diagnostic systems for Tesla vehicles and products.
• The position combines machine learning, audio processing and production deployment work.
• The work environment is research driven, technology focused and team oriented.
• Employees receive competitive compensation, stock awards, benefits and access to innovative engineering projects.

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, labelling 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.

Requirements

• A degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field is required, or equivalent work background.
• Strong knowledge of Python and C++ is required.
• Solid background in software engineering practices including version control, testing and code review is required.
• Strong knowledge of machine learning fundamentals including neural networks, optimization methods, regularization and model evaluation is required.
• Work background with neural network architectures for audio applications including CNNs, RNNs and Transformers is required.
• Strong knowledge of event detection and of classification models.
• Skilled in PyTorch or another major deep learning tool such as TensorFlow.
• Can work with machine learning systems from development through deployment in production environments.