Senior Applied Scientist – ADAS

Responsibilities

• Define and drive the technical direction for physical AI algorithms
• Define and execute on a technical roadmap towards state‑of‑the‑art reinforcement learning
• Design, implement, and improve ML/vision transformer models for 3D awareness and planning
• Architect multi-modal fusion approaches to build 3D environments
• Identify larger end-to-end models that should replace traditional approaches
• Apply advanced ML techniques to improve perception performance
• Lead structured experimentation and benchmarking
• Translate research ideas into reliable, scalable ML solutions
• Provide technical guidance and mentorship to perception engineers

• 7+ years of experience in machine learning, vision transformers, diffusion, or computer vision
• Deep expertise in modern deep learning architectures
• Strong hands‑on experience with PyTorch (or equivalent frameworks)
• Proven experience building and iterating on large‑scale ML models
• Strong mathematical foundations in optimization and probabilistic modeling
• Track record of delivering measurable improvements in ML system performance
• Experience guiding technical decisions within a small engineering team

• Reinforcement Learning
• ML Model Development
• Optimization Techniques
• Probabilistic Modeling
• 3D Awareness and Planning

• Mentorship
• Technical Guidance