Jobs in Toronto, ON and nearby

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

51,248 listings · 7,249 employers Counted Sep 20, 2026. How we count

About these jobs

Employers hiring include RBC (738 listings), Scotiabank (664 listings), Loblaw Companies Limited (655 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

7,484 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 / year	85,000.00	4,637
CAD / hour	23.27	2,034
USD / year	110,000.00	387
USD / hour	20.00	139
GBP / hour	35.00	14
CAD / week	2,346.20	13
CAD / month	4,000.00	11

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, 30% hybrid, 70% 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 Toronto, ON and nearby

Within 25 km

Save this search

Added 12 hours ago
Senior Creative Event Producer
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Mississauga, ON
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Added 12 hours ago
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Produce Clerk Part Time Day
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Toronto, ON
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Full Stack Engineer, Support Experience (Greater China Support)
Stripe
Toronto, ON
Full-time
Added 13 hours ago
Senior Outside Technical Sales Representative – U.S. Business Development
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Toronto, ON
From $100,000 CAD / year
Full-time
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AI Engineer
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Toronto, ON
Added 13 hours ago
Customer Service Representative
Farm Boy Inc.
Toronto, ON
From $17.95 CAD / hour
Full-time

Waabi

Senior / Staff Software Engineer, ML-based Controls

Toronto, ON, Canada

Pay: $241,000 to $320,000 USD / year
Job type: Full-time
Posting language: English
Posted: Sep 3, 2026

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Original job description

You Will…

Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.
Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.
Apply machine learning to improve how the controller adapts across vehicles and operating conditions.
Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
Own problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.
Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.
Participate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.

Qualifications:

MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical field(s) of study.
Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).
Hands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.
Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
Solid problem solving skills using linear algebra, optimization, statistics & probability.
Ability to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.
Open-minded and collaborative team player with the willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

\n\n

The US yearly salary range for this role is: $241,000 - $320,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

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More about this job

Responsibilities

Design and develop data-driven machine learning approaches for vehicle control and integrate them into closed-loop simulations. Own the end-to-end process from conceptualization and offline experimentation to on-vehicle validation and performance evaluation.

Requirements

Requires a Bachelor's, MS, or PhD in a technical field with at least 4 years of industry experience in robotics or controls. Candidates must demonstrate proficiency in control theory, dynamic systems, and production-quality coding in Python and C++.

Skills

Machine learning
Control theory
Python
C++
PyTorch
MPC
Optimal control
State estimation
System identification
Vehicle modeling
Data pipelines
Simulation
Linear algebra
Optimization
Statistics
Probability

Benefits

Equity incentive awards
Annual performance bonus
Competitive perks

Visa sponsorship

Not detected in the job text

Keywords

Machine learning
Control theory
MPC
Optimal control
State estimation
System identification
Vehicle dynamics
Python
C++
PyTorch
Simulation
Data pipelines
Linear algebra
Optimization
Statistics
Probability
Robotics
Self-driving
AI
Hardware in the loop
Algorithm development
Software engineering
Autonomy
Algorithms

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