Applied AI Scientist (Ph.D.)

We are seeking a hands-on Applied AI Scientist to join our core R&D team and drive the development of next-generation AI systems for autonomous driving. This role sits at the intersection of applied research and deployment - you will go from reading papers to shipping production systems. You will work directly on our multi-layered autonomy architecture, with a primary focus on real-time predictive models for driving decisions. A deep technical role for someone who thrives on turning cutting-edge research into real, working systems under hard constraints.

Requirements: Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related field Strong publication or deployment track record in one or more of: deep learning, computer vision, reinforcement learning, imitation learning, vision-language models, or motion prediction Demonstrated ability to go from paper to working implementation - not just theory, but shipped systems Strong coding skills in Python; experience with C++ is a plus Familiarity with modern ML infrastructure: PyTorch, distributed training, model optimization Solid mathematical foundations in probability, optimization, and statistics