Research Engineer, World Models
TECHNICAL STACK · 5 TAGS
OVERVIEW
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:
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Video generation and prediction
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Latent diffusion / autoregressive / flow-matching models
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multimodal foundation models for driving scenes
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LLM / VLM / VLA methods for scene understanding, reasoning, and control
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Generative scenario modeling and controllable simulation
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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)
REQUIREMENTS
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.
QUESTIONS AND ANSWERS
- How much does the Research Engineer, World Models at Waabi pay?
- The posting lists a range of $155K–$269K per year. Ranges reflect what Waabi publicly declared on the source posting.
- Where is this Research Engineer, World Models role based?
- The role is based in Toronto, ON.
- What experience does Waabi expect for this role?
- The posting is tagged as a executive-level role, typically 10+ years of experience. Check the requirements section for specifics.
- Where is Waabi headquartered?
- Waabi is headquartered in Toronto, Canada.
- How was this posting sourced?
- This role was pulled directly from Waabi's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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