Jobs in Canada

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Added 1 month ago
MI
Tool & Die Maker Apprentice
Magna International
Concord, ON
- Full-time
Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse…
Added 1 month ago
TS
Maintenance Shop Technician A
thern Sanitation Inc
Toronto, ON
- Full-time
Maintains a working knowledge of, and moderate skill proficiency in vehicle components and systems, and performs preventative and repair maintenance functions, both on-site and on the road.
Added 1 month ago
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Senior Cyber Defence Analyst
nesto
Canada
- Full-time
…for someone who thrives on hands-on investigation, detection engineering, and building innovative AI-driven defence capabilities in a 100% cloud, dev-centric environment. You'll collaborate…
Added 1 month ago
AI
Android Developer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Android Developer – Kotlin, Jetpack Compose & Android Studio
Added 1 month ago
MI
Tool Weld Technician
Martinrea International
Newmarket, ON
- Full-time
Must have good interpersonal and communication skills
Added 1 month ago
Test Laboratory Manager - Hydrogen
Alstom
Mississauga, ON
At Alstom, we build what millions depend on daily - rail transportation systems that can't afford to fail. We're more than 85,000 people worldwide creating the industry's most diverse…
Added 1 month ago
LE
Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 3 Days per Week On-Site
Added 1 month ago
LE
Lead Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 3 Days per Week On-Site
Added 1 month ago
LE
BI Developer - 1 Year Contract
LG Electronics
Toronto, ON
- Contract
Work Arrangement: Hybrid: 4 Days per Week On-Site
Added 1 month ago
LE
Sr. Physical AI Research Scientist
LG Electronics
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 3 Days per Week On-Site
Added 2 months ago
O
.NET Developers (Talent Pool)
Orangutech
Canada
- Temporary
As a .NET Developer in our talent pool, you will be considered for future roles where you’ll design, develop, and maintain enterprise applications leveraging the Microsoft stack. You’ll…
Added 2 months ago
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AI Pre-Sales Consultant
Thinkpivot
Toronto, ON
- Full-time
AWS Certification: Must hold a valid AWS Certified Solutions Architect (Associate or Professional)
Added 1 month ago
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Building electrical Technician - Client's site
BPA
Longueuil, QC
- Full-time
BPA is more than an engineering firm - it’s a passionate team shaping the buildings and infrastructure of tomorrow. With offices across Canada, our expertise in sustainable design and…
Added 1 month ago
SR
Senior Analyst - Inventory Planning & Replenishment
Staples Retail
Richmond Hill, ON
- Full-time
Use planning systems and analytical tools to assess portfolio performance and identify risks, trends, and opportunities.
Added 1 month ago
SC
Senior Analyst - Inventory Planning & Replenishment
Staples Canada
Richmond Hill, ON
- Full-time
Use planning systems and analytical tools to assess portfolio performance and identify risks, trends, and opportunities.
Added 1 month ago
ML
Customer Support Specialist - CAD
Meshy LLC
Remote, Canada
- Full-time
- Remote
Partner with Product, Engineering, and Finance to investigate and resolve bugs, and route feature requests and user feedback to the right team.
Added 1 month ago
AM
Technical Marketing Specialist (1 year contract)
Advanced Micro Devices, Inc
Markham, ON
- Temporary
Must have experience with Python and relevant libraries/frameworks such as NumPy, Pandas, PyTorch, or TensorFlow · Must have excellent C/C++ and at least one GPU programming framework, such as ROCm, CUDA, or OpenCL
Added 1 month ago
AM
Fuse Validation Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…closely with Designers, SoC Architects, Firmware teams, product engineering, and manufacturing teams to ensure fuse programming, supporting new features with innovative fuse solutions,…
Added 1 month ago
FH
Anaesthesia Assistant, Royal Columbian Hospital
Fraser Health
New Westminster, BC
- Full-time
…necessary accessory lines and sets up cardio/respiratory monitoring…
Added 1 month ago
GV
AI Workflow Project Manager Electrical Engineering Automation
GE Vernova
Markham, ON
- Full-time
Bachelor’s degree in electrical engineering, Power Systems Engineering, Computer Engineering, or a related field with strong electrical specialization.
Added 1 month ago
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Webber - Road Technician - Infrastructure Management
Ferrovial
Ottawa, ON · CAN - Webber - Infra - Ottawa
- Full-time
…private partnership (P3) solutions. Webber also has an in-house engineering services department to help optimize building efficiency and quality while solving complex project challenges…
Added 1 month ago
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Senior Technical Combat Designer
Side
Remote, Canada
- Contract
- Remote
…our clients' studios, contributing expertise across design, engineering, art, audio, QA, and…
Added 1 month ago
Software Development Engineer II, Amazon S3 Metadata
Amazon
Vancouver, BC
- Build distributed systems leveraging modern technologies like Apache Iceberg to handle infinite-scale metadata storage and query processing
Added 1 month ago
S
Ingénieur(e) de production / Manufacturing Engineer
Smardt
Dorval, QC
- Full-time
Added 1 month ago
ST
Senior Commissioning and Qualification Engineer I
STEMCELL Technologies
Burnaby, BC · Canada - BC, Burnaby, Production Way, Onsite
- Full-time
Manage commissioning and qualification activities for facilities, utilities, equipment, and support systems in accordance with approved plans, procedures, and quality requirements

LG Electronics

Sr. Physical AI Research Scientist

Toronto, ON, Canada

The expected base salary range for this position is $140k - $180k. · Full-time

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Job details

Pay: The expected base salary range for this position is $140k - $180k.
Job type: Full-time
Posting language: English
Posted: Sep 18, 2026

Original job description

Position Type: Full-Time, Permanent

Department: Toronto AI Lab

Work Location: Downtown Toronto

Work Arrangement: Hybrid: 3 Days per Week On-Site

At LG, we create Innovation for a Better Life.

We design products and services that make life better, easier, and more enjoyable. Whether it’s through smart functionality, design, or innovative technology, our home appliances, including kitchen, laundry and lifestyle solutions, media entertainment products including televisions, sound bars, projectors, computer monitors and laptops, to cutting-edge business solutions in IT, digital signage, and HVAC, we’re driven by one simple idea: to make Life Good.

As a global leader in consumer electronics, LG is committed not only to enriching the lives of our customers, but also to create rewarding experiences for our employees. We offer meaningful challenges, continuous learning opportunities, and a workplace culture that recognizes collaboration and rewards excellence.

Across our global network, LG employees share a common mission: to bring the Life’s Good promise to our customers by creating a better life for people, and a better future for our planet through our smart life solutions. Our relentless drive for innovation, combined with our culture of challenge and change, enables us to lead in today’s dynamic market.

At LG, Life’s Good.

LG Toronto AI Lab is looking for a Sr. Physical AI Research Scientist who will contribute to designing and developing robot agents that operate safely and robustly in the real world. This role focuses on advancing physical intelligence agents that perceive, reason, and act under real-world constraints, while explicitly addressing safety, uncertainty, and reliability, which are key priorities for LG Electronics as a leading global corporation in the design and development of robotics systems (from industrial and home robots to humanoids).

Requirements

Our mission is to develop safe robotic agents that robustly align their actions with high-level intent, environmental constraints, and safety requirements, even under uncertainty in open-world settings. In this role, you will contribute to:

▪ Robot Safety Architecture: Design and implement safety verification and monitoring modules within the robot agent architecture

▪ Safety and Generalization: Develop methods to improve the safety, robustness, and generalization of robotic foundation models, including vision-language-action (VLA) models and world models

▪ Scaling via Simulation: Build and maintain large-scale simulation frameworks leveraging generative models and domain randomization to enable scalable robot learning

▪ Continual Learning: Develop safe exploration and continual learning approaches that enable physical agents to adapt to unstructured environments while respecting strict safety constraints

▪ Simulation-to-Reality Transfer: Develop scalable, safety-critical simulation pipelines to rigorously evaluate and stress-test robot agents prior to real-world deployment

You will collaborate with researchers and engineers across multiple teams within the organization to build agents that are not only capable, but also safe, reliable, and robust in real-world environments.

Principal Responsibilities

▪ Quickly turn research concepts into practical, validated implementations

▪ Contribute to data collection strategies and training pipelines

▪ Develop imitation learning, reinforcement learning, and/or multimodal learning algorithms

▪ Fine-tune robotic foundational models, including but not limited to VLMs, VLAs and world models

▪ Design safety-aware robotic manipulation solution via including but not limited to fine-tuning, policy steering, and Best-of-N sampling

▪ Develop methods for Sim-to-real transfer, data-efficient learning (offline RL, self-supervised learning), robustness to noise and distribution shift

▪ Collaborate with Physical Intelligence, Embodied AI, and Robotics teams across the organization to develop prototypes and deploy models on physical robots

▪ Support and contribute to R&D collaborations with academic and industry partners

▪ Mentor junior team members and contribute to research direction

▪ Additional duties as assigned

Knowledge, Skills, And Abilities

Education and Professional Experience
PhD in Machine Learning, AI, Robotics, or related fields with 3+ years of post-graduate R&D experience, OR
M.Sc. in ML/AI/Robotics with 6+ years of experience
Strong publication in top-tier conferences or journals (incl., NeurIPS, ICLR, CVPR, CoRL, ICRA) related to Computer Vision, Continual Learning, Reinforcement Learning, and Robotics
General Technical Skills
Strong foundation in natural language processing (NLP), computer vision, reinforcement learning (RL), and robotics
Deep expertise in GenAI foundation models, including but not limited to multimodal large language models (MLLMs), vision-language models (VLMs), diffusion and flow matching models
Hands-on experience with constitutional AI, alignment, optimization, and reward modeling/shaping
Knowledge of transfer learning, meta learning, and contrastive learning is a plus
Proven ability to design, execute, and rigorously evaluate experiments in complex ML/AI systems
Strong proficiency in PyTorch and/or JAX
Preferred Technical Skills
Experience with robotic manipulation and navigation tasks in simulation and/or real-world settings
Expertise in robotic foundation models, including diffusion policies, VLAs, and (latent) world models
Pre-training and post-training of robotic foundation models are second nature to you
Familiarity with ROS1 and/or ROS2 for robot software development, system integration, and deployment pipelines is a plus
Practical experience with simulation platforms such as Isaac Sim, Genesis, and MuJoCo
Research and Collaboration
Ability to identify, formulate, and define novel research problems
Experience of collaborating with academic and industry partners
Proven track record of translating research concepts into production-grade prototypes and deployed systems
Strong commitment to mentoring junior researchers and fostering a high-performing R&D culture
Personal Attributes
Highly creative problem-solver with a demonstrated ability to develop novel, real-world solutions
Comfortable operating in fast-paced, technically complex, and highly collaborative environments
Open to feedback from senior colleagues across the organization and actively incorporates input into work
Strong communication skills, with the ability to clearly articulate complex research ideas to both technical and non-technical stakeholders

Note: This posting is for an existing vacancy. The expected base salary range for this position is $140k - $180k. Actual total compensation may include variable incentive pay. The determination of an applicant's base salary is based on the applicant's skills, competencies, location, and unique qualifications.

Artificial intelligence will be used in sourcing, reviewing and communicating with candidates for this position.

This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

The organization offers an attractive compensation package that encompasses a competitive salary and excellent benefits.

Conditions Of Employment

It is the candidate’s sole responsibility to obtain any work permits/visas or other authorizations which may be required to legally work in Canada prior to commencing employment.

Equal Opportunity Employer

LG Electronics Canada, Inc. is strongly committed to diversity and inclusion and aims to create a healthy, accessible, and rewarding work environment which highlights employees’ unique contributions to our company’s success. As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve. LG Electronics Canada, Inc., will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform LG’s Human Resources staff of the nature of any accommodation(s) that you may require in respect of any materials or processes.

LG Electronics Canada, Inc. thanks all candidates for their interest, however, only those selected to continue in the process will be contacted.

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More about this job

Responsibilities

The role involves designing and implementing safety-aware robotic architectures and developing foundation models for physical agents. You will collaborate with cross-functional teams to translate research concepts into practical, production-grade robotic implementations.

Requirements

Candidates must hold a PhD or M.Sc. in Machine Learning, AI, Robotics, or a related field with significant post-graduate R&D experience. A strong publication record in top-tier conferences and deep expertise in GenAI foundation models and robotic systems are required.

Skills

Machine learning
Robotics
Computer vision
Reinforcement learning
PyTorch
JAX
Foundation models
Multimodal large language models
Diffusion models
Robotic manipulation
Sim-to-real transfer
Continual learning
Safety architecture
ROS1
ROS2
Isaac Sim

Benefits

Competitive salary
Excellent benefits

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Robotics
Machine Learning
Computer Vision
Reinforcement Learning
Foundation Models
PyTorch
JAX
ROS1
ROS2
Isaac Sim
MuJoCo
Genesis
Multimodal Learning
Imitation Learning
Safety Verification
GenAI
Diffusion Models
World Models
Sim-to-real
Robotic Manipulation
Navigation
NeurIPS
ICLR
CVPR
CoRL
ICRA
Constitutional AI
Data-efficient learning
Distribution shift

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Jobs in Canada