Drimva

Amazon

Human-Robot Interaction Applied Scientist , Fauna

$184K–$249K

New York, NY · Full-time · Posted May 28, 2026

Experience
3+ years of industry or academic research experience; alternatively, PhD or equivalent research experience, or Master's degree and 6+ years of industry or academic research experience.
Education
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 interactive systems that enable robots to build engaging, personalized relationships with people.

What you'll do

  • Build conversational and multimodal robot behaviors using context from users, interaction history, and the physical environment.
  • Develop perception, memory, and personalization systems for socially appropriate, long-term interactions.
  • Lead projects through production deployment, mentor junior team members, and connect research with engineering implementation.

What they ask for

  • PhD or equivalent research experience, or a Master's degree and 6+ years of industry or academic research experience; also requires 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 real participants.
  • Programming experience in Python or a related language; demonstrated technical project leadership and mentoring experience.
  • Expertise in at least one listed interaction or social-computing area, plus experience applying machine learning to interactive or socially situated systems.

Nice to have

  • Experience deploying interaction systems on physical robots or other embodied platforms.
  • Experience with LLM-based agents, long-term memory or personalization, or perception-system integration.

Pay

183,800.00 - 248,700.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary); 183,800.00 - 248,700.00 USD annually (base salary)

Tools

Python, PyTorch, JAX, LLMs, multimodal models, reinforcement learning, imitation learning

AI focus

Develop socially appropriate robot interaction using language models, multimodal inputs and outputs, reinforcement learning from human feedback, perception, memory, and personalization.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)