Jobs in Burnaby, BC and nearby (46,671 jobs)

Jobs within 25 km of Burnaby, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

46,671 listings · 7,847 employers Counted Nov 12, 2026. How we count

About these jobs

Employers hiring include Vancouver Coastal Health (1,353 listings), Health Match BC (1,317 listings), Fraser Health (1,006 listings).

Common roles: Retail sales associate, Registered nurse, Family physician.

11,497 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	32.00	7,080
CAD / year	80,000.00	3,696
CAD / month	5,692.25	502
CAD / week	1,450.00	15

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: 0% remote, 18% 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

Jobs in Burnaby, BC and nearby

Within 25 km

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Inverted AI

Machine Learning Engineer - Autonomous Driving Policy & Deployment

Vancouver, BC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 11, 2027
Posting language: English
Posted: Nov 12, 2026

Original job description

Inverted AI is a Vancouver-based UBC spin-out building the behaviour models behind autonomous driving. Our generative models of human driving are used by AV and ADAS companies for simulation, and we now train and deploy end-to-end driving policies that run onboard real vehicles. We have a large proprietary drone-captured driving dataset, abundant GPU compute, and a small, technically dense team of researchers and engineers.

The role

This is an early-career role for a strong engineer who wants to work on learned driving policies, from training runs on the GPU cluster to code that runs on the car. You'll work alongside our researchers, take ownership quickly, and grow your role with the company.

What you'll do

Run, monitor and debug training of driving policy and perception models on multi-GPU clusters
Build data pipelines that turn raw video and sensor logs into training data
Help port, optimize and test models on embedded hardware, and integrate them with the vehicle software stack
Build evaluation tooling and closed-loop simulation tests
Maintain build systems, containers (Docker/Singularity) and CI for our Python and C++ codebases

Required qualifications

BSc or MSc in Computer Science, Computer Engineering, Engineering Physics or similar (new and recent graduates welcome)
Strong Python; working knowledge of C++
Coursework or project experience with PyTorch and deep learning
Comfortable on Linux, with git and Docker
Self-starter who can contribute without a rigidly defined scope

Nice to have

Robotics, autonomous racing (F1TENTH), RoboCup or similar student design-team experience, especially getting a model running on real hardware
Experience with ROS/ROS 2, Jetson or other embedded GPUs, or real-time systems
Reinforcement learning, imitation learning or computer vision projects
Prior co-op or internship in ML or robotics

What we offer

Salary: $90,000 - $120,000 CAD per year, depending on experience, plus participation in our employee stock option plan
Health and wellness benefits and paid time off
Your work runs on real vehicles, not just in benchmarks
A small, fast-moving team with direct access to world-class ML researchers

Hiring process

A 30-minute remote screen with a short coding exercise; a 1-2 hour in-depth interview (in person if you're in Vancouver); a take-home with a programming and a design part, completed within a 48-hour window; then reference checks.

In person, downtown Vancouver, BC. Full-time. Must be legally entitled to work in Canada. Inverted AI is an equal opportunity employer. We welcome applicants from all backgrounds and make hiring decisions on qualifications, merit and business needs.

Apply on LinkedIn About employer

More about this job

Responsibilities

Train, monitor, and debug driving policy and perception models on multi-GPU clusters, and build pipelines that convert raw video and sensor logs into training data. Port and optimize models for embedded hardware, integrate them with vehicle software, develop evaluation and simulation tools, and maintain build systems, containers, and CI.

Requirements

A BSc or MSc in Computer Science, Computer Engineering, Engineering Physics, or a similar field is required; new and recent graduates are welcome. Candidates should have strong Python skills, working knowledge of C++, project or coursework experience with PyTorch and deep learning, and comfort with Linux, Git, and Docker.

Skills

Python
C++
PyTorch
Deep Learning
Linux
Git
Docker
Multi-GPU Training
Data Pipelines
Embedded Hardware Optimization
Vehicle Software Integration
Closed-Loop Simulation
Build Systems
Continuous Integration
Machine Learning
Autonomous Driving

Benefits

Employee Stock Options
Health And Wellness Benefits
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Autonomous Driving
Driving Policies
Perception Models
Machine Learning
Deep Learning
PyTorch
Python
C++
Multi-GPU Clusters
GPU Compute
Training Data
Data Pipelines
Video Data
Sensor Logs
Embedded Hardware
Jetson
Vehicle Software Stack
Closed-Loop Simulation
Evaluation Tooling
Linux
Git
Docker
Singularity
Continuous Integration
ROS
ROS 2
Real-Time Systems
Reinforcement Learning
Imitation Learning
Computer Vision

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Jobs in Burnaby, BC and nearby