HRI Applied Scientist: Social, Lifelike Robot Interactions

Amazon Science; Massachusetts; On-site; USD 180,000 - 240,000; Full time

Job summary

Amazon Robotics seeks an HRI Applied Scientist to advance conversational and social intelligence in robots. You will work on verbal and non-verbal interactions, memory, personalization, and long-term user relationships, leveraging LLMs and multimodal AI within real-world robotic platforms.

You will lead projects from conception to deployment, mentor junior researchers, and bridge research with engineering to deliver socially intelligent robot behavior.

Qualifications

• PhD, or Master’s degree with 6+ years of applied research experience.
• 3+ years of industry or academic research experience.
• Experience publishing in major HRI/ML/AI/HCI conferences.

Responsibilities

• Develop interactive systems that leverage LLMs, multimodal inputs/outputs, RLHF, or other advanced techniques for fluid robot behavior.
• Design and implement intelligent conversational systems with turn-taking, grounding, and context from environment/history.
• Integrate perceptual sensor streams (gaze, facial expression, gesture, posture) to understand social context.
• Develop memory and personalization systems for long-term relationships with users and environments.
• Stay updated on HRI, NLP, multimodal AI, and cognitive/social science innovations.
• Lead technical projects from conception to production deployment.
• Mentor junior scientists and engineers.
• Bridge research initiatives with practical engineering implementations.

Skills

Human-robot interaction

Large language models

Multimodal systems

Python

C++

Mentoring

Education

PhD in a related field

Master's degree + 6+ years of applied research

Tools

Python

Java

C++

PyTorch

TensorFlow

Job description

Amazon Robotics seeks an HRI Applied Scientist to advance conversational and social intelligence in robots. You will work on verbal and non-verbal interactions, memory, personalization, and long-term user relationships, leveraging LLMs and multimodal AI within real-world robotic platforms.

You will lead projects from conception to deployment, mentor junior researchers, and bridge research with engineering to deliver socially intelligent robot behavior.