Graduate Human-Centric AI Engineer

About the role

The Human-Machine Understanding (HMU) group is seeking a graduate engineer to work at the intersection of AI, cognitive science, and human-machine interaction. You will contribute to the development of an HMU framework that enables machines to perceive, reason about, and adapt to human behavior and intent in real time. This role involves applying these technologies to diverse use cases including robotics, automation, and AI assistants in sports and healthcare.

Responsibilities

• Deliver on diverse client projects, from supporting the design and running of human subjects’ studies for science-backed HMI/HRI design, to technical development of novel interfaces and interaction paradigms.
• Support technical research on understanding the art of the possible in human-machine understanding and translating it into robust industrial solutions through technical prototypes.
• Work with colleagues across Cambridge Consultants to translate deep technical insights into compelling narratives and functional systems for our clients, and academic audiences.

Required skills

• Python
• AI/ML frameworks
• PyTorch
• Computational modelling

Nice to have

• Human subject research
• HRI/HCI systems
• Cognitive architectures
• Multi-modal perception
• Affective computing
• Agentic AI workflows
• Knowledge graphs
• State-machine architectures
• ROS2

Qualifications

• Degree or PhD in Computer Science, Robotics, or a related field with emphasis on computational modelling or AI

About the Company

Cambridge Consultants is a company focused on building the next generation of intuitive human interactive technologies through their Human-Machine Understanding group.