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Remote Robotics Research Engineer Jobs in Toronto, ON

Waabi

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... in research and engineering fields * Previous exposure to Natural Language Processing (NLP ...

Serve Robotics

Lead Machine Learning Engineer

Toronto, ON · Remote

$225K - $260K/yr

Work closely with ML scientists and other engineers to integrate new models, experiments, and ... Peer-reviewed publications or significant research contributions in machine learning, robotics, or ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... robotics and machine learning to enable safe self-driving at scale, with advanced techniques in ... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ...

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... robotics. Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a ...

Waabi

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

Model distillation. - Collaborate with engineers to integrate models into large-scale, distributed ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Waabi

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... engineers to integrate models into large-scale, distributed training and rendering pipelines ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... Engineering . * High attention to detail . * Exceptional written and verbal communication skills

Generac

Senior Engineer QA

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... You have used Selenium, Robot Framework or similar frameworks * You have done electronic design and ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ... Researching and implementing new AI technologies and methodologies Working with data scientists and ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Toronto, Ontario (CA-ON ... Researching and implementing new AI technologies and methodologies Working with data scientists and ...

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Remote Robotics Research Engineer information

What is the difference between Remote Robotics Research Engineer vs Remote Robotics Software Developer?

AspectRemote Robotics Research EngineerRemote Robotics Software Developer
Required CredentialsMaster's or PhD in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Computer Science or Software Engineering
Work EnvironmentResearch labs, universities, R&D departmentsTech companies, startups, industrial firms
Industry UsageResearch, academia, innovation projectsProduct development, software solutions, automation
Common Search/ComparisonFocuses on research and innovation in roboticsFocuses on software development for robotics applications

The main difference is that Remote Robotics Research Engineers focus on advancing robotics technology through research and experimentation, often working in academic or R&D settings. In contrast, Remote Robotics Software Developers primarily develop and implement software solutions for robotic systems in industry. Both roles require technical skills, but their goals and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Robotics Research Engineer, and why are they important?

To thrive as a Remote Robotics Research Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by an advanced degree in a related field. Proficiency in programming languages such as Python or C++, robotics frameworks like ROS, and simulation tools such as Gazebo or MATLAB is typically required. Exceptional problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating and innovating remotely. These skills and qualities are vital for developing cutting-edge robotics solutions and ensuring smooth teamwork across distributed environments.

How does collaboration typically work for a Remote Robotics Research Engineer, and what tools are commonly used for remote teamwork?

As a Remote Robotics Research Engineer, you’ll frequently collaborate with multidisciplinary teams that may include software developers, mechanical engineers, and data scientists. Communication and project management are facilitated through tools like Slack, Microsoft Teams, and project tracking platforms such as Jira or Asana. Version control and code collaboration often occur via GitHub or GitLab. Regular virtual meetings, code reviews, and shared documentation ensure alignment and productivity despite the physical distance, making strong communication skills and self-motivation essential for success in this remote environment.

What are Remote Robotics Research Engineers?

Remote Robotics Research Engineers are professionals who design, develop, and test robotic systems while working from a remote or virtual location. They use advanced programming skills, simulation tools, and data analysis to create robots or autonomous systems for various industries, such as manufacturing, healthcare, or space exploration. Their responsibilities often include conducting research, collaborating with cross-functional teams, and publishing their findings, all while utilizing cloud-based platforms and remote communication tools. This role is ideal for individuals with strong technical backgrounds who seek flexibility and global collaboration opportunities.
What are the most commonly searched types of Robotics Research Engineer jobs in Toronto, ON? The most popular types of Robotics Research Engineer jobs in Toronto, ON are:
What are popular job titles related to Remote Robotics Research Engineer jobs in Toronto, ON? For Remote Robotics Research Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Research Engineer jobs in Toronto, ON look for? The top searched job categories for Remote Robotics Research Engineer jobs in Toronto, ON are:
Remote Robotics Research Engineer jobs near you
Infographic showing various Remote Robotics Research Engineer job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Research Engineer, World Models

Waabi

Toronto, ON • On-site, Remote

CA$155K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi's autonomous-driving stack is powered by Waabi World, which delivers realistic, scalable, controllable, and efficient simulation. As a Research Engineer in the World Models team, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World's ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.

You will...

- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems:

  • Video generation and prediction

  • Latent diffusion / autoregressive / flow-matching models

  • multimodal foundation models for driving scenes

  • LLM / VLM / VLA methods for scene understanding, reasoning, and control

  • Generative scenario modeling and controllable simulation

  • Model distillation

- Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines.

- Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets.

- Build large scale data pipelines to build high quality datasets for training

- Ensure the quality, stability, and maintainability of the world model codebase and infrastructure.

- Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics.

Qualifications:

- Strong software engineering and implementation: You have very strong Python & PyTorch (or JAX) skills; strong software-engineering fundamentals, and extensive experience with distributed training and large-scale model deployment.

- Demonstrated technical impact: You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling.

- Expert domain knowledge: You have built and deployed generative or predictive models of the physical world, focusing on scale, efficiency, and robustness for real-world applications.

- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects in a fast-paced environment. 

Bonus:

- Experience with infrastructure and tooling for large-scale ML training (e.g., cloud platforms, Kubeflow, Ray).

- Experience with efficient model serving and deployment (e.g., ONNX, TensorRT).

- Publications or research at top ML/CV/Robotics conference (e.g., CVPR, ECCV, NeurIPS)

The US yearly salary range for this role is: $155,000 - $269,000 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. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
 

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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