Lead Human-Robot Interaction Scientist

Amazon

San Francisco, Northern (CA, KY)

Hybrid

USD 172,000 - 223,000

Full time

10 days ago
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Benefits offered by this job

RSUs
Health insurance
401(k) matching
Paid time off

Job summary

Amazon is seeking an Human-Robot Interaction (HRI) Applied Scientist to develop expressive, socially intelligent robot interactions. You will focus on verbal and non-verbal communication, memory, and long-term relationships between robots and people in diverse environments.

Responsibilities include designing conversational systems, integrating sensors for social context, mentoring juniors, and leading projects from concept to deployment while staying current with HRI and NLP advances.

Qualifications

  • 3+ years of building models for business applications.
  • PhD, or Master's degree with 1+ years in CS/CE/ML or related fields.
  • Publications or patents in top-tier venues.
  • Proficiency in Java, C++, Python or related languages.
  • Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, HPC.

Responsibilities

  • Develop interactive systems using LLMs, multimodal inputs/outputs, RLHF, or similar techniques to enable engaging robot behavior.
  • Design intelligent conversational systems with turn-taking, grounding, and context from environment/history.
  • Integrate perceptual sensors to understand social context and generate lifelike interactions.
  • Build memory/personalization systems for long-term user-robot relationships.
  • Stay updated on HRI, NLP, multimodal AI, and cognitive/social sciences; apply advanced methods.
  • Lead projects from conception to production deployment.
  • Mentor junior scientists and engineers.
  • Bridge research initiatives with engineering implementations.

Skills

Model building
Java
C++
Python
Publications
Patents
Algorithms
Unix/Linux

Education

PhD
Master's degree

Tools

Unix/Linux

Job description

Amazon is seeking an Human-Robot Interaction (HRI) Applied Scientist to develop expressive, socially intelligent robot interactions. You will focus on verbal and non-verbal communication, memory, and long-term relationships between robots and people in diverse environments.

Responsibilities include designing conversational systems, integrating sensors for social context, mentoring juniors, and leading projects from concept to deployment while staying current with HRI and NLP advances.

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