Applied AI Scientist - On Site

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. This role sits at the intersection of applied research and deployment. 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 (an MSc with an exceptional background will also be considered). • Strong publication or deployment track record in one or more of: deep learning, computer vision, generative AI, reinforcement learning, 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, ONNX, Triton, Dynamo, distributed training, model optimization. • Solid mathematical foundations in probability, optimization, and statistics.