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World Jobs in Toronto, ON (NOW HIRING)

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

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 ...

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

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 ...

This is an exciting time for DP World Contract Logistics as we are launching a brand new automotive sequencing site in Mississauga/Oakville. We are looking for a driven Materials Specialist to join ...

Truck Driver

Oakville, ON · On-site

CA$31.06/hr

DP World is looking for a dynamic individual who is ready to take on the exciting and rewarding challenge to be a Truck Driver at our automotive sequencing warehouse, in Oakville, Ontario. If you ...

DP World is looking for a dynamic individual who is ready to take on the exciting and rewarding challenge to be a Heavy Equipment Operator at our automotive sequencing warehouse, in Oakville, Ontario.

DP World is looking for a dynamic individual who is ready to take on the exciting and rewarding challenge to be an Operator at our automotive sequencing warehouse, in Oakville, Ontario. In this ...

Quality Compliance Lead

Oakville, ON · On-site

CA$59K - CA$70K/yr

Compensation DP World offers exciting and challenging roles within a growing international organization. We strive to hire and develop the right people, locally and globally, stimulating personal ...

This role will serve as the primary point of contact between internal DP World teams and clients, fostering clear and effective communication. Key Responsibilities: * Partner with sales executives to ...

Manager, Quality

Oakville, ON

CA$86K - CA$100K/yr

Compensation DP World offers exciting and challenging roles within a growing international organization. We strive to hire and develop the right people, locally and globally, stimulating personal ...

This role will serve as the primary point of contact between internal DP World teams and clients, fostering clear and effective communication. Key Responsibilities: * Partner with sales executives to ...

Global Gender Justice Advisor

Burlington, ON · On-site +1

CA$82K - CA$92K/yr

Serve as World Renew's lead technical advisor on gender equality, providing strategic leadership, organizational guidance, and technical expertise across development, humanitarian, and justice ...

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World information

What are world jobs?

The term 'world' on its own does not refer to a specific job title. However, in professional contexts, 'world' may be part of broader job titles such as 'World Affairs Analyst,' 'World History Teacher,' or roles related to global organizations like the United Nations. These positions usually involve working on international issues, global policy, or cross-cultural communication. If you are looking for roles with 'world' in the title, consider jobs related to international relations, global business, or worldwide project management.

What is the difference between World vs Data Analyst?

AspectWorldData Analyst
Required CredentialsBachelor's degree often in international studies, geography, or related fieldsBachelor's degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Excel skills
Work EnvironmentGlobal organizations, NGOs, government agencies, international companiesCorporate offices, consulting firms, or data-driven departments within various industries
Industry UsageUsed in international relations, global development, and policy sectorsUsed across finance, marketing, healthcare, and technology sectors

While both roles may involve analysis, a World professional focuses on international or global issues, often requiring knowledge of geopolitics and international policies. A Data Analyst specializes in interpreting data to inform business decisions, with skills in data management and statistical analysis. Understanding these differences helps clarify career paths and employer expectations.

What cities near Toronto, ON are hiring for World jobs?

Cities near Toronto, ON with the most World job openings:

Infographic showing various World job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Research Engineer, World Models

Waabi

Toronto, ON • On-site, Remote

CA$155K - CA$269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 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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