Applied Intuition
Robotics · Autonomous-vehicle software
Robotics · Autonomous-vehicle software
Applied Intuition currently has 63 active AI-related roles in our index. The most common open titles are: Applied Perception Engineering Lead (2), Autonomy Integration Software Engineer, C++ Software Engineer (Autonomous Systems), C++ Software Engineer - Autonomy/Physical AI, Data & ML Pipeline Software Engineer. Most positions are in Engineering and Research.
Applied Intuition's active AI hiring is concentrated in: agents (32%), data (19%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Applied Intuition is hiring AI talent in: United States (58 roles), South Korea (2 roles), United Kingdom (1 role).
Job postings at Applied Intuition most frequently reference: model serving, multimodal, inference infra, agent orchestration, vision.
In the past 30 days, Applied Intuition has posted 10 new AI-related roles. That is a +25% change versus the prior 30 days (8 → 10).
| Title | Stage | AI score |
|---|---|---|
| Research Engineer - Reinforcement Learning, Self-Driving Research Engineer role focused on Reinforcement Learning for self-driving and robotics applications. Involves research on RL training infrastructure, self-play RL, VLA post-training, and deploying algorithms for mass production vehicles. Requires strong Python, PyTorch, computer vision, robotics, and distributed ML skills. | Post-trainServe | 9 |
| Research Intern - Reinforcement Learning, Robotics Research Intern role focused on reinforcement learning for robotics, including large-scale closed-loop RL and VLA post-training, with the goal of contributing to high-quality research publications. | Post-trainAgent |
| 9 |
| Research Scientist - Reinforcement Learning, Self-Driving Research Scientist role focused on Reinforcement Learning for autonomous driving and robotics, involving large-scale self-play RL, VLA post-training, and closed-loop RL. The role involves research publications and collaboration with engineering teams to deploy algorithms into products. | Post-trainAgent | 9 |
| Research Intern - Reinforcement Learning, Self-Driving Research Intern role focused on Reinforcement Learning for self-driving and robotics applications, involving large-scale self-play RL, VLA post-training, and closed-loop RL. The role emphasizes research publications and collaboration with scientists and engineers. | Post-trainAgent | 9 |
| Research Scientist - Reinforcement Learning, Robotics Research Scientist role focused on Reinforcement Learning (RL) and Vision-Language Model (VLA) post-training for robotics and autonomous systems, with an emphasis on dexterous manipulation. The role involves conducting research, publishing in top-tier conferences, and collaborating with engineering teams to deploy algorithms. Requires a strong research record in RL and VLA for robotics, with a relevant MSc or PhD. | Post-trainAgent | 9 |