Job Description

Research and Implementation of the research for future mobility services

• Developing innovative solutions that advance AI/ML systems for mobility services
• Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols
• Conducting research on AI safety and alignment topics
• Identifying research gaps and propose novel solutions to enhance performance, reliability, and adaptability of agent-based systems
• Prototyping frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers

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
• Proficient programming skills in Python and common libraries (e.g., TensorFlow, Pytorch, etc.)
• Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations

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