Robotics · Autonomous trucking
Currently tracking 29 active AI roles, down 62% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $122k–$296k (avg $203k).
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.
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 |
|---|---|---|
| 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-trainServe | 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 |