Full-time jobs in Canada (365,245 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

365,245 listings · 46,697 employers Counted Nov 6, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,625 listings), Health Match BC (3,554 listings), Walmart (2,815 listings).

Common roles: Project manager, Cook, Sales representative.

65,179 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	38,389
CAD / year	80,000.00	24,509
CAD / month	5,027.00	664
USD / year	127,000.00	219
CAD / week	1,508.50	74
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
EUR / year	72,500.00	10

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Sanctuary AI

Machine Learning Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 4+ years of software engineering experience, with a focus on developing and deploying production-grade applications.
Posting language: English
Posted: Nov 6, 2026

Original job description

Your New Role and Team

Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.

As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward.

As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects.

Success Criteria

Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems.
Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
Implement scalable and efficient software solutions to integrate machine learning models into production systems.
Optimize and fine-tune machine learning algorithms for improved performance and accuracy.
Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
Stay updated on the latest developments and advancements in machine learning and communicate promising research directions to the team.
Provide technical guidance and mentorship to junior team members.

Your Experience

Qualifications

Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
3+ years of experience in machine learning methods, with specialization in areas such as reinforcement or imitation learning for dexterous manipulation, computer vision for robotics, or natural language processing.
4+ years of software engineering experience, with a focus on developing and deploying production-grade applications.
Hands-on experience deploying ML models to production.
Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Experience with ROS2 and parallel computing (e.g., CUDA, OpenMP).
Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
Demonstrated experience applying ML techniques in real-world systems is strongly valued. Publications are welcome but not expected for this role.
Familiarity with robotics principles and technologies is highly desirable.

Skills

Strong programming proficiency in Python and C++.
Working knowledge of core machine learning techniques and algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning, natural language processing) and the ability to apply them effectively in software systems.
Ability to optimize and fine-tune ML algorithms for performance and accuracy.
Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Leadership and mentorship ability, supporting the growth of junior team members.

Traits:

Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems.
Takes ownership and accountability, fostering the same in teammates.
Empathetic listener with conflict resolution capabilities.
Consistent bias for action, communication, and interpersonal savvy.
Self-motivated and able to solve problems independently.
Mission driven and passionate about bringing human-like intelligence to machines.

Apply About employer

More about this job

Responsibilities

You will design, develop, and deploy machine learning models to enhance robotic perception, manipulation, and reasoning capabilities. Additionally, you will collaborate with cross-functional teams to integrate these models into production-grade robotic systems.

Requirements

Candidates must hold a Master's or Ph.D. in a technical field and possess at least 3 years of experience in machine learning methods. Proficiency in Python, C++, and ML frameworks like PyTorch or TensorFlow is required, along with a strong background in software engineering.

Skills

Machine Learning
Robotics
Python
C++
PyTorch
TensorFlow
ROS2
CUDA
Reinforcement Learning
Computer Vision
Deep Learning
Parallel Computing
Software Engineering
Distributed Computing
Algorithm Optimization
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Robotics
Physical AI
Dexterous Manipulation
Python
C++
PyTorch
TensorFlow
ROS2
CUDA
OpenMP
Reinforcement Learning
Imitation Learning
Computer Vision
Natural Language Processing
Software Engineering
Production Deployment
Distributed Computing
AWS
Azure
GCP
Spark
Algorithm Optimization
Robotic Perception
Planning
Reasoning
Cross-functional Collaboration
Technical Mentorship

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