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.
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 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 Scientist, Neural Reconstruction Research Scientist focused on developing next-generation neural scene-representation and reconstruction algorithms for autonomous transportation, transforming sensor data into digital worlds. This role involves fundamental and applied research in 3D/4D neural reconstruction, dynamic scene reconstruction, and multi-sensor learning, directly powering simulation and rendering systems. | Data | 9 |
| Research Scientist, Simulation Agents Research Scientist focused on developing simulation agents and scenario generation algorithms for autonomous transportation, advancing state-of-the-art in ML/RL, and publishing research. The role involves shipping solutions into production and contributing to the scientific safety case. | DataAgent | 9 |
| Research Internship/Co-op Research internship/co-op role focused on developing new AI algorithms for autonomous vehicles, covering areas like perception, prediction, and motion planning. The role involves implementing, training, and optimizing algorithms, with encouragement to publish research externally and contribute to open source projects. | Data | 9 |
| Senior / Staff ML Training Optimization Engineer Senior/Staff ML Training Optimization Engineer to build standardized distributed training frameworks, profile model runtime and memory, identify and evaluate emerging technologies for training and inference, and work with researchers on resource usage best-practices. Focus on optimizing training efficiency and stability. | DataServe | 8 |
| Senior Software Engineer, Auto Labelling Senior Software Engineer to build and scale an offline perception and auto-labelling system using computer vision and machine learning for autonomous transportation. The role involves end-to-end orchestration of training, evaluation, and automation, and deploying new architectures into production. | DataServe | 7 |
| Senior / Staff Software Engineer, ML Datasets & Data Pipelines This role focuses on designing and implementing scalable ML data pipelines for training and evaluating deep learning models for an autonomous driving platform. It involves optimizing data formats, caching, dataloading, and improving data sampling for introspection and edge-case identification. The role requires strong software engineering fundamentals, Python proficiency, and experience with deep learning frameworks and distributed ETL pipelines. | Data | 7 |