Yesterday
Staff ML Engineer responsible for BEV model development and multi-modal perception. Leading architectural innovation and data-driven improvements at Torc Robotics.
Yesterday
Staff ML Engineer focused on Road & Lane Detection, leading model development for autonomous vehicles at Torc Robotics. Collaborate on advanced deep learning architectures and data strategies.
Yesterday
Staff ML Engineer leading development of learned behavior models for autonomous trucks at Torc Robotics. Focused on model innovation and collaboration across teams.
Yesterday
Staff ML Engineer leading design and deployment of learning-based architectures for autonomous vehicles. Develop core models and pipelines for closed-loop driving performance in a cutting-edge technology environment.
Yesterday
Senior Machine Learning Engineer at Torc Robotics responsible for designing and improving AI frameworks and tools for autonomous vehicles. Collaborating in a leading autonomous driving company since 2007.
🗣️🇫🇷 French Required
Yesterday
Senior Machine Learning Engineer designing and implementing algorithms for autonomous vehicles. Working on data annotation and perception modules in a collaborative engineering team.
🗣️🇫🇷 French Required
Yesterday
Staff Machine Learning Engineer at Torc Robotics developing next-gen BEV models for autonomous driving. Leading architectural innovation and large-scale model training.
🗣️🇫🇷 French Required
Yesterday
Senior Machine Learning Engineer leading development of road and lane detection models at Torc Robotics. Defining cutting-edge architectures and enhancing perception capabilities for autonomous vehicles.
🗣️🇫🇷 French Required
Yesterday
Lead E2E model development and architecture design connecting perception data to driving decisions at Torc Robotics. Drive advancements in autonomous vehicle performance with practical machine learning solutions.
🗣️🇫🇷 French Required
Yesterday
Staff Engineer in Machine Learning at Torc Robotics directing behavior modeling for autonomous trucks. Collaborating with teams to ensure safe and efficient decision-making systems for real-world operations.
🗣️🇫🇷 French Required
Yesterday
Senior ML Engineer for Torc Robotics developing ML frameworks to enhance autonomous vehicle technology. Collaborate with teams for advanced solutions in freight movement.
Yesterday
Senior ML Engineer at Torc Robotics developing offline perception models and algorithms for autonomous driving technology. Leading project teams and driving technical solutions in a fast-paced environment.
2 days ago
Machine Learning Engineer integrating and optimizing AI solutions for water utilities using cutting-edge cloud technologies. Collaborating on end-to-end ML lifecycle and working with large datasets in an agile environment.
November 27
Staff Machine Learning Engineer on the AI team developing scalable solutions for physical operations. Collaborate across functions to leverage AI in customer solutions with data-driven insights.
🇨🇦 Canada – Remote
💵 $162.4k - $223.3k / year
💰 Seed Round on 2014-08
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
November 26
Machine Learning Scientist developing AI models for aerospace. Collaborating with teams to navigate challenges in space technology and improve operational resilience.
November 25
Senior Machine Learning Engineer designing AI systems at Affinity for relationship insights from extensive data. Collaborating to build recommendation systems and information retrieval solutions.
November 21
Machine Learning Engineer in Risk AI/ML at Coinbase. Designing and deploying sophisticated models for fraud prevention and risk management.
🇨🇦 Canada – Remote
💵 $191.1k / year
💰 $21.4M Post-IPO Equity on 2022-11
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
November 21
Senior Machine Learning Engineer developing AI solutions to enhance safety and sustainability at Samsara. Collaborating with cross-functional teams to deliver core infrastructure and optimizations.
🇨🇦 Canada – Remote
💵 $132.6k - $171.6k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
November 20
Machine Learning Engineer developing scalable ML solutions using Vertex AI at Tiger Analytics. Collaborating on the end-to-end ML lifecycle from data ingestion to model serving.
November 20
Sr. Machine Learning Scientist & Engineer leading prompt design and validation efforts for LLM-powered features at Laivly. Collaborating with teams to ensure safe deployment of AI technologies.
+45 More Machine Learning Engineer Jobs Available!

Artificial Intelligence • eCommerce • Telecommunications
51 - 200
💰 Pre Seed Round on 2013-01
The average salary for remote ml engineers in Canada is CA$215,468 per year. This is based on data from 241 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level Machine Learning Engineer (0 yrs) | 11 | CA$129,375 |
🟢 Junior Machine Learning Engineer (1-2 yrs) | 28 | CA$187,063 |
🟡 Mid-level Machine Learning Engineer (2-4 yrs) | 58 | CA$180,225 |
🟠 Senior Machine Learning Engineer (5-9 yrs) | 109 | CA$230,927 |
🔴 Lead Machine Learning Engineer (10+ yrs) | 35 | CA$275,510 |
We analyzed 176 job listings in the last year and found it takes about 49 days for employers to close a job opening.
We reviewed 241 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in Python or R, knowledge of machine learning algorithms and frameworks like TensorFlow or PyTorch, and proficiency in data manipulation and analysis. Familiarity with cloud platforms and strong problem-solving abilities are also important.
Typically, a degree in computer science, engineering, or a related field is required. Advanced degrees or certifications in machine learning or data science can be beneficial, but a strong portfolio showcasing relevant projects matters significantly.
Responsibilities include designing and implementing machine learning models, analyzing and preprocessing data, collaborating with data scientists and engineers, optimizing algorithms for performance, and staying updated with the latest advancements in the field.
Benefits include flexible working hours, the ability to work from anywhere, access to diverse projects, and a higher demand for machine learning skills in various industries. Remote work also promotes a better work-life balance and reduced commuting costs.
We use powerful scraping tech to scan the internet daily for thousands of remote jobs. It operates 24/7 and costs us to operate, so we charge for access to keep the site running.
Of course! You can cancel your subscription at any time with no hidden fees or penalties. Once canceled, you'll still have access until the end of your current billing period.
Other job boards only have jobs from companies that pay to post. This means that you miss out on jobs from companies that don't want to pay. On the other hand, Remote Rocketship scrapes the internet for jobs and doesn't accept payments from companies. This means we have thousands of more jobs!
New jobs are constantly being posted. We check each company website multiple times a day to ensure we have the most up-to-date job listings.
Yes! We're always looking to expand our listings and appreciate any suggestions from our community. Just send an email to Support@remoterocketship.com. I read every request.
Remote Rocketship is a solo project by me, Lior Neu-ner. I built this website for my wife when she was looking for a job! She was having a hard time finding remote jobs, so I decided to build her a tool that would search the internet for her.