Waabi
Robotics · Autonomous trucking
Waabi currently has 37 active AI-related job listings. The hiring is distributed across several stages, with data roles representing 24% of the openings, followed by application, agents, and serving infrastructure, each at 16%. The dominant function is Engineering, with 26 roles, and hiring is occurring in both the United States and Canada. Frequent tech tags include model_serving, inference_infra, and evals, suggesting a focus on operationalizing AI models. Over the last 30 days, Waabi posted 1 new AI role, a decrease from the previous 30-day period.
Currently tracking 29 active AI roles, down 62% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $122k–$296k (avg $203k).
Robotics · Autonomous trucking
Waabi currently has 34 active AI-related roles in our index. The most common open titles are: 2026 Intern, PhD Research Scientist, Applied Scientist, Distillation Lead, Lead Product Manager, Autonomy, Platform Systems Engineer; Sensing and Perception, Maps and Localization. Most positions are in Engineering and Research.
Waabi's active AI hiring is concentrated in: data (24%), agents (18%), serving infrastructure (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Waabi is hiring AI talent in: United States (33 roles), Canada (33 roles).
Job postings at Waabi most frequently mention: Machine Learning, Autonomous Driving, Computer Vision, Robotics, Simulation.
In the past 30 days, Waabi has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Distillation Lead Lead the strategy and execution for model distillation and compression across Waabi's AI stack, focusing on efficient deployment for onboard autonomy and simulation. This involves designing and implementing state-of-the-art pipelines, collaborating with cross-functional teams, defining evaluation frameworks, mentoring engineers, and staying at the cutting edge of research. | Post-trainServe | 9 |
| Research Engineer, World Models Research Engineer focused on developing and productionizing large-scale world models for autonomous transportation, including video, multimodal, LLM/VLM/VLA, and predictive models. The role involves designing, implementing, and scaling generative and predictive systems, optimizing training and inference, building data pipelines, and ensuring code quality, with a focus on robotics applications. | Post-train |
| 9 |
| Research Scientist, World Models Research Scientist role focused on developing and productionizing large-scale world models for temporal reasoning and generation in the context of autonomous transportation. This involves research in video generation, multimodal foundation models, LLM/VLM/VLA methods, and generative scenario modeling, with a strong emphasis on publishing research and integrating models into training pipelines. | Post-trainAgent | 9 |