AI Researcher - Agentic AI & LLMs for Mobility

We are seeking a PhD graduate in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Agentic AI systems for mobility. Role summary / purpose 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. Key responsibilities 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 Prototype frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers Publish novel research in top-tier conferences and journals and generate high-impact intellectual property and patents Requirements - education & experience 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 models (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., 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 Location: Mountain View, California, United States Travel: Not required Remote work: Not permitted Duration: 17 August 2026 - 13 August 2027 Company introduction We are seeking a PhD graduate in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline to work on Agentic AI systems for mobility. Role summary / purpose 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. Key responsibilities 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 Prototype frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers Publish novel research in top-tier conferences and journals and generate high-impact intellectual property and patents Requirements - education & experience 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 models (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., 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 Employment details - type, location, hours Location: Mountain View, California, United States Schedule: Monday-Friday, 8 hours per day, 40 hours per week Travel: Not required Remote work: Not permitted Duration: 17 August 2026 - 13 August 2027 Impellam Group and its brands are equal-opportunity employers committed to diversity and inclusion. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, pregnancy or maternity, national origin, age, disability, veteran status, or any other factor determined to be unlawful under applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application, interview process, pre-employment activity, and the performance of crucial job functions. If you require additional disability considerations, modifications, or adjustments please let us know by contacting View email address on click.appcast.io or fill out this form to request accommodations. #J-18808-Ljbffr Bartech Staffing