Amazon
Human-Robot Interaction Applied Scientist , Fauna
$172K–$223K
New York City, NY +1 · Full-time · Posted Aug 31, 2026
- Location
- New York City, NY
New York, NY - Experience
- 3+ years building models for business application; PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience.
About the job
Develop and deploy socially intelligent robot interaction systems that support natural conversation, understand users and environments, and build personalized relationships over time.
What you'll do
- Develop conversational and multimodal robot behaviors using advanced AI techniques, and integrate perceptual sensor streams to understand social context.
- Build conversational, memory, and personalization systems that use physical-environment context and shared user history.
- Lead technical projects from conception through production, mentor junior staff, and connect research with engineering implementation.
What they ask for
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python or a related language, and experience in at least one listed area: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux.
- Experience in professional software development.
Pay
172,400.00 - 223,400.00 USD annually (base salary); 172,400.00 - 223,400.00 USD annually (base salary)
Tools
large language models, reinforcement learning from human feedback, Java, C++, Python, Unix/Linux
AI focus
Develop conversational and multimodal robot AI, including socially appropriate behavior, perception-informed interaction, and memory and personalization for long-term relationships.
Model-written summary · the original posting is authoritative