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HomeCompaniesWaabiResearch Engineer, World Models

Research Engineer, World Models

Waabi · Toronto, ON · Hybrid · Active · $155,000–$269,000 / year · Lever

Job facts

FieldValue
CompanyWaabi
TitleResearch Engineer, World Models
Normalized title-
Department / teamSoftware / Autonomy & Algorithms
LocationToronto, ON, Canada
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$155,000–$269,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-04-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Waabi.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in Software.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWaabi
Sourcec1a550c2-58d8-4bd4-8cbd-8cefa0876c7e
ATS providerLever

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.

Full job record

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Org IDfda7ca7b-a773-4334-af7c-9235daf1042f
Source IDc1a550c2-58d8-4bd4-8cbd-8cefa0876c7e
Board IDc1a550c2-58d8-4bd4-8cbd-8cefa0876c7e
Providerlever
Provider Job Keyef8b9a24-a010-4ef6-814c-3503e268e9a3
TitleResearch Engineer, World Models
Normalized Title
Statusactive
Activeyes
Location TextToronto, ON
DepartmentSoftware
TeamAutonomy & Algorithms
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryCanada
RegionON
CityToronto
Salary Rawsalary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits
Salary Min155,000
Salary Max269,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/waabi/ef8b9a24-a010-4ef6-814c-3503e268e9a3
Apply URLhttps://jobs.lever.co/waabi/ef8b9a24-a010-4ef6-814c-3503e268e9a3/apply
First Seen At2026-05-29 07:01:56Z
Last Seen At2026-06-06 07:56:47Z
Last Checked At2026-06-06 07:56:47Z
Last Changed At2026-05-29 07:01:56Z
Inactive At
Source Posted At2026-04-02 15:36:53Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=waabi/date=2026-06-06/2026-06-06T07-56-46-867Z-0811cbcb2c7c514c89dc115b34d477357ba77784d1a67bfe0ca1550f450a4763.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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