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🕒 July 9
Machine Learning Engineer developing consumer-facing AI features powered by LLMs at Quora. Collaborating with engineers and optimizing production AI systems for enhanced user engagement.
🏈 North America – Remote
💵 $107.4k - $152.9k / year
💰 $85M Series D on 2017-04
⏰ Full Time
⚪️ Entry-level
🤖 Machine Learning Engineer
🕒 July 7
Machine Learning Engineer at Sumsub building ML solutions combating fraud and identity theft. Work with global teams in a fully remote setting allowing product autonomy.
🌏 Anywhere in the World
💰 $30M Series B - Sumsub on 2022-12
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 July 6
Staff Product Manager leading Vegetation Intelligence at Overstory, harnessing machine learning to enhance utility vegetation management. Overseeing product strategy and development for critical vegetation insights.
🕒 June 30
Staff MLOps Engineer responsible for building infrastructure for AI/ML at NBCUniversal. Managing large media datasets, deploying models, and automating data pipelines.
🗣️🇫🇷 French Required
🕒 June 30
Deep Learning Engineer at NBCUniversal implementing algorithms in computer vision and graphics. Transforming high dimensional data into high-fidelity content using advanced techniques.
🗣️🇫🇷 French Required
🕒 June 30
Staff Deep Learning Engineer at NBCUniversal implementing core algorithms for 2D and 3D media datasets. Collaborating with cofounders and deploying large-scale algorithms for high-fidelity content.
🗣️🇫🇷 French Required
🕒 June 19
Senior Machine Learning Engineer at DraftKings creating real-time personalization systems for player engagement and retention. Collaborating with teams to deploy machine learning solutions in a fast-paced environment.
🕒 June 19
Senior Machine Learning Engineer at DraftKings shaping player experiences through machine learning solutions. Leading initiatives to improve engagement and retention via advanced data strategies.
Job not on LinkedIn
🕒 June 17
Job not on LinkedIn
Machine Learning Developer at Rocket Innovation Studio designing frameworks for automated decision-making. Collaborating with data scientists to develop algorithms and hosting trained models into business processes.
Job not on LinkedIn
🕒 June 17
Job not on LinkedIn
ML Engineer on the Alerts Team developing AI for crisis intelligence. Building and maintaining ML models in a dynamic environment.
🕒 June 16
Senior Machine Learning Engineer at Reddit enhancing personalized recommendations and search systems through advanced ML techniques. Collaborating with cross-functional teams to drive impactful ML solutions.
🕒 June 13
Senior Staff Machine Learning Engineer at Workiva defining enterprise-level AI architecture and solutions. Leading technical direction and influencing secure AI platform design across multiple teams.
🕒 June 12
Senior Machine Learning Engineer shaping AI and data solutions on Google Cloud. Leading projects and delivering innovative machine learning applications for clients in a remote setting.
🇨🇦 Canada – Remote
💵 CA$125k - CA$170k / year
💰 Pre Seed Round on 2013-01
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
Job not on LinkedIn
🕒 June 10
Job not on LinkedIn
Senior ML Engineer at Just Eat Takeaway.com shaping machine learning infrastructure and optimizing models for production. Leading development of scalable solutions and mentoring engineers.
🕒 June 10
Senior Machine Learning Engineer architecting ranking systems for Instacart's search and recommendations. Collaborating with teams to optimize personalization, revenue, and user experience.
🇨🇦 Canada – Remote
💵 $180k - $190k / year
💰 $232M Venture Round on 2021-11
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🕒 June 5
Role focused on design, development, and deployment of foundational AI and ML models. Build AI platforms and pipelines that support analytics for small businesses at Wave.
🕒 June 3
Technical leader for ML-powered Supply & Fleet Optimization Systems at Lime. Driving scalable, high-impact systems for fleet optimization and forecasting.
🇨🇦 Canada – Remote
💵 CA$172k - CA$237k / year
💰 $418M Convertible Note on 2021-11
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🕒 May 27
MLOps Engineer ensuring operationalization of machine learning models at Autodesk. Collaborating across teams for AI/ML platform efficiency.
🕒 May 27
Machine Learning Engineer focusing on end-to-end ML lifecycle at SandboxAQ. Joining AI Generation Engine to design and prototype AI-first products leveraging Large Quantitative Models.
🕒 May 27
Senior Machine Learning Engineer on AI Generation Engine team designing and building AI-first products at SandboxAQ. Focus on the end-to-end ML lifecycle from data exploration to model deployment.
+50 More Machine Learning Engineer Jobs Available!
The average salary for remote ml engineers in Canada is CA$215,643 per year. This is based on data from 225 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) | 7 | CA$0 |
🟢 Junior Machine Learning Engineer (1-2 yrs) | 20 | CA$168,955 |
🟡 Mid-level Machine Learning Engineer (2-4 yrs) | 50 | CA$174,305 |
🟠 Senior Machine Learning Engineer (5-9 yrs) | 105 | CA$231,859 |
🔴 Lead Machine Learning Engineer (10+ yrs) | 43 | CA$280,931 |
We analyzed 149 job listings in the last year and found it takes about 55 days for employers to close a job opening.
We reviewed 225 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 scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
