Human-Robot Interaction AI Engineer

Field Ai; Boston (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

FieldAI is transforming how robots interact with the real world. Our Boston-based R&D team develops risk-aware, field-ready AI systems deployed globally, focusing on reliable, embodied intelligence and explainability.

We seek researchers and engineers to design natural, multimodal HRI and to advance foundation-model-based interactions in real-world settings. You will collaborate with perception, planning, and UX teams, contribute to field deployments, and publish impactful results at leading

Qualifications

• Bachelor’s level or higher in CS/Robotics/HCI or equivalent industry experience.
• Hands-on experience developing human-robot interaction systems, including dialogue systems, NLP 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.
• Master’s degree in CS/Robotics/HRI or 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.

Responsibilities

• 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.
• 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.
• 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 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.

Skills

HRI systems

Dialogue systems

Python

C++

NLU

Speech recognition

Open-source

Publications

User studies

Interdisciplinary teamwork

Communication

Education

Bachelor’s degree in CS/Robotics/HCI

Master’s degree in CS/Robotics/HRI

Equivalent industry experience

Tools

Robotics middleware

Job description

FieldAI is transforming how robots interact with the real world. Our Boston-based R&D team develops risk-aware, field-ready AI systems deployed globally, focusing on reliable, embodied intelligence and explainability.

We seek researchers and engineers to design natural, multimodal HRI and to advance foundation-model-based interactions in real-world settings. You will collaborate with perception, planning, and UX teams, contribute to field deployments, and publish impactful results at leading