Amazon
Human-Robot Interaction Applied Scientist , Fauna
$184K–$249K
New York, NY · Full-time · Posted Oct 20, 2026
- Experience
- 3+ years of industry or academic research experience; PhD, or Master's degree and 6+ years of applied research experience. Also states PhD or equivalent research experience, or Master's degree and 6+ years of industry or academic research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience; also states PhD or equivalent research experience, or Master's degree and 6+ years of industry or academic research experience.
About the job
Develop and deploy socially intelligent conversational and interaction systems that help robots understand people and their environments and build personalized, long-term relationships.
What you'll do
- Develop conversational and multimodal robot behaviors using advanced AI techniques and integrate social perceptual signals into interactions.
- Build memory and personalization systems that adapt robot behavior over time; lead technical projects through production deployment.
- Mentor junior scientists and engineers and connect research with practical engineering implementation.
What they ask for
- PhD, or Master's degree and 6+ years of applied research experience; the posting also lists 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 and experience designing, running, and analyzing user studies with human participants.
- Experience applying machine learning to interactive or socially situated systems; programming experience in Java, C++, Python, or a related language.
Nice to have
- Experience deploying interaction systems on physical robots or other embodied platforms.
- Experience with LLM-based agents, long-term memory, personalization, or user modeling for conversational agents.
Pay
183,800.00 - 248,700.00 USD annually (base salary)
Tools
Java, C++, Python, large language models, reinforcement learning from human feedback, R, scikit-learn, PyTorch/JAX
AI focus
Develop robot interaction systems using LLMs, multimodal AI, reinforcement learning, and related methods, including socially appropriate dialogue, perception-grounded interaction, memory, and personalization.
Model-written summary · the original posting is authoritative