Research Engineer, World Models
Pittsburgh, PAAll locationsPittsburgh, PAToronto, ONSan Francisco, CARemote US & Canada Hybrid
$155,000–$269,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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…
What you'll bring
- 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.
- 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)
- 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.