CW AI Researcher for Mobility

Job Title

Seeking a PhD graduate in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Agentic AI systems for mobility.

The successful candidate will conduct cutting-edge research at the intersection of large language models (LLMs), agentic AI, multi-agent systems, world models, reinforcement learning, and knowledge distillation, enabling efficient AI deployment across cloud, edge, and embedded platforms for intelligent mobility and autonomous systems

What you’ll be doing

• Develop innovative solutions that advance AI/ML systems for mobility services
• Design and develop multi-agent AI systems capable of collaboration, negotiation, planning, and task execution
• Research LLM-based reasoning and autonomous planning for long-horizon decision making
• Develop teacher–student learning frameworks to transfer reasoning, planning, and collaboration capabilities from large foundation models to compact edge models
• Prototyping frameworks and algorithms in Python using tools such as Auto Gen, Lang Chain, or custom orchestration layers
• Publish novel research in top-tier conferences and journals and generate high-impact intellectual property and patents

Required Qualifications:

• Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / Machine Learning
• Research experience in Generative AI, Agentic AI, and AI Safety and Alignment
• Research experience with Foundational (LLMs, VLMs, and other large-scale AI architectures), including fine-tuning, evaluation, and application to domain-specific tasks
• Strong programming skills in Python and common libraries (e.g., Tensor Flow, Pytorch, etc.)