ARE YOU A VISIONARY PHD GRADUATE WITH A PASSION FOR PUSHING THE BOUNDARIES OF AI? ESHOCAN IS SEEKING A TALENTED RESEARCH SCIENTIST TO JOIN OUR TEAM AND DEVELOP CUTTING-EDGE AGENTIC AI SYSTEMS FOR THE FUTURE OF MOBILITY. IF YOU HAVE A DEEP RESEARCH BACKGROUND IN GENERATIVE AI AND ARE READY TO APPLY YOUR SKILLS TO SOLVE COMPLEX, REAL-WORLD PROBLEMS, WE INVITE YOU TO JOIN US!

At eShocan, we are deeply committed to fostering a supportive and rewarding environment for our employees. We’re proud to offer a comprehensive benefits package designed to support your health, financial well-being, and work-life balance.

REQUIRED QUALIFICATIONS:

• Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a strong focus on AI / Machine Learning.
• Extensive research experience in Generative AI, Agentic AI, and AI Safety and Alignment.
• Hands-on research experience with Foundational Models (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).
• A strong ability to conduct general research activities, including defining problems, finding and using research data, and presenting findings effectively.

WHAT YOU’LL DO:

As a Research Scientist, you will be at the forefront of innovation, leading applied research in Agentic AI and its application to mobility services. Your work will directly shape the future of intelligent systems, ensuring they are not only powerful but also safe and reliable.

KEY RESPONSIBILITIES:

• Develop innovative solutions that advance AI/ML systems specifically for mobility services.
• Conduct applied research in Agentic AI, focusing on agent design, orchestration strategies, tool integration, and communication protocols.
• Drive research on critical AI safety and alignment topics to ensure the ethical and reliable deployment of our systems.
• Identify research gaps and propose novel solutions to enhance the performance, reliability, and adaptability of agent-based systems.
• Prototype frameworks and algorithms in Python, leveraging tools such as AutoGen, LangChain, or developing custom orchestration layers.
• Engage in a full range of research activities, from defining problems to making clear, impactful recommendations in writing and presentations.