FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
What You Will Get To Do
Design & Build Human-Robot Interaction Systems
Architect and implement dialogue systems that enable natural, multimodal communication between operators and robots.
Develop interaction frameworks that adapt to user expertise levels, environmental context, and task requirements.
Create intuitive mechanisms for operators to understand robot intent, state, and decision-making.
Leverage Foundation Models for Intelligent Interaction
Integrate foundation models into HRI pipelines.
Design systems to improve the efficiency and performance of foundation models on edge.
Evaluate and iterate on model outputs to ensure safe, reliable, and contextually appropriate robot responses.
Bridge Research & Deployment
Translate HRI research insights into practical, field-deployable systems
Conduct user studies and field experiments to validate interaction designs
Build robust systems that perform reliably in unstructured, real-world environments
Collaborate Across Disciplines
Partner with perception, planning, and autonomy engineers to create cohesive human-robot experiences.
Work with product and UX teams to align interaction designs with user needs.
Collaborate with customers to develop bespoke HRI solutions and see your work deployed in the field.
What You Bring
Bachelor’s degree in Computer Science, Robotics, Human-Computer Interaction, or a related field, or equivalent industry experience
Hands-on experience developing human-robot interaction systems, including dialogue systems, natural language interfaces, or multimodal interaction
Proficiency with foundation models and their integration into production software systems
Strong programming skills in Python and C++
Solid understanding of HRI principles, including user modeling, explainability, and trust calibration
Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams
Ability to translate research ideas into practical, field-deployable systems
Excellent communication skills and a highly collaborative mindset
What Will Set You Apart
Master’s degree in Computer Science, Robotics, Human-Robot Interaction, or a related field
Experience with robotics middleware for real-time systems
Publications in top-tier venues such as HRI, CHI, ICRA, RSS, CoRL, ACL, or EMNLP
Experience with speech recognition, natural language understanding, or dialogue management frameworks
Familiarity with user study design and evaluation methodologies
Contributions to open-source robotics or NLP projects
Personal or academic projects demonstrating creativity in human-robot or human-AI interaction
