PhD or equivalent research experience, or Master's degree and 6+ years of industry or academic research experience
3+ years of industry or academic research experience
Strong publication record at major HRI/ML/AI/HCI conferences
Experience designing, running, and analyzing user studies with real human participants
Experience programming in Python or related language
Demonstrated track record of leading technical projects
Experience mentoring junior scientists/engineers
Strong understanding of one or more of: dialogue systems, multimodal interaction, social signal processing, affective computing, or cognitive modeling
Experience applying machine learning (LLMs, multimodal models, reinforcement learning, imitation learning, or related techniques) to interactive or socially situated systems
History of impactful first-author publications at major conferences
Experience deploying interaction systems on physical robots or other embodied platforms
Experience with LLM-based agents, tool use, planning, or grounding language in perception and action
Experience with long-term memory, personalization, or user modeling for conversational agents
History of technical leadership and cross-functional collaboration
Experience bridging research with practical engineering implementation in robotics or consumer AI products
Extensive programming skills in Python and PyTorch/JAX
Experience integrating perception systems (e.g., vision, audio, and touch sensors) into interaction pipelines
Familiarity with safety, privacy, and ethical considerations for socially interactive AI systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, NY, NEW YORK - 183,800.00 - 248,700.00 USD annually
Additional Information
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
Amazon.com - A57 · New York, NY