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Human-Robot Interaction, Applied Scientist , Fauna

Amazon

Human-Robot Interaction, Applied Scientist , Fauna

full-timePosted: Aug 23, 2026Updated: Aug 27, 2026New York, New York, United States

Job Description

We are seeking a Human-Robot Interaction (HRI) Applied Scientist to develop cutting-edge interactions that make robots feel alive, personal, and fun. In this role, you will focus on verbal and non-verbal conversational systems, social dynamics, memory, and long-term relationship formation between robots, their environments, and the people they interact with. Your contributions will be essential in advancing robotics by enabling expressive, socially intelligent, and trustworthy interactions between robots and humans. Key job responsibilities - Develop interactive systems that leverage large language models, multimodal inputs and outputs, reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging, and socially appropriate robot behavior - Design and implement intelligent conversational systems that handle turn-taking, grounding, interruption, and incorporates context drawn from a robot's physical environment and shared history with a user - Integrate perceptual sensor streams including gaze, facial expression, gesture, posture, and more to understand social context and produce coherent, lifelike interactions. - Develop memory and personalization systems that allow robots to form lasting relationships with individual users, learn their environments, and adapt their behavior over weeks and months - Stay updated on advancements in HRI, NLP, multimodal AI, and cognitive and social science to apply cutting-edge techniques to robot interaction challenges - Lead technical projects from conception through production deployment - Mentor junior scientists and engineers - Bridge research initiatives with practical engineering implementation

Locations

  • New York, New York, United States

Salary

172,400 - 223,400 USD / yearly

Skills Required

  • patentsintermediate
  • any of the following areas: algorithmsintermediate
  • Unix/Linuxintermediate
  • professional software developmentintermediate

Required Qualifications

  • 3+ years of building models for business application experience (experience, 3 years)
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
  • Experience programming in Java, C++, Python or related language (experience)
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)

Preferred Qualifications

  • Experience using Unix/Linux (experience)
  • Experience in professional software development (experience)

Responsibilities

  • Develop interactive systems that leverage large language models, multimodal inputs and outputs, reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging, and socially appropriate robot behavior
  • Design and implement intelligent conversational systems that handle turn-taking, grounding, interruption, and incorporates context drawn from a robot's physical environment and shared history with a user
  • Integrate perceptual sensor streams including gaze, facial expression, gesture, posture, and more to understand social context and produce coherent, lifelike interactions.
  • Develop memory and personalization systems that allow robots to form lasting relationships with individual users, learn their environments, and adapt their behavior over weeks and months
  • Stay updated on advancements in HRI, NLP, multimodal AI, and cognitive and social science to apply cutting-edge techniques to robot interaction challenges
  • Lead technical projects from conception through production deployment
  • Mentor junior scientists and engineers
  • Bridge research initiatives with practical engineering implementation

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