AmazonHuman-Robot Interaction Applied Scientist , Fauna
Amazon is hiring a Human-Robot Interaction Applied Scientist , Fauna in New York, United States. It pays $184k-$249k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this applied scientist role is Builds AI ●●●●: the job is building AI systems.
- Pay on this posting starts 7% higher than the typical applied scientist posting on Level.
- The posting mentions PyTorch, JAX and Python among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Develops conversational systems and multimodal AI models for human-robot interaction.
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
Basic qualifications
- 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
Preferred qualifications
- 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, NEW YORK - 183,800.00 - 248,700.00 USD annually
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, NY, New York City - 183,800.00 - 248,700.00 USD annually
How we rate this
Human-Robot Interaction Applied Scientist , Fauna at Amazon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in applied scientist jobs at this level
Pay
- This job starts at
- $184k
- Typical applied scientist job
- $172k
This posting starts 7% above the typical applied scientist job. See applied scientist jobs
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where robotics was part of your work. What did you do?
- Tell me about a project where large language models was part of your work. What did you do?
- Tell me about a project where reinforcement learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: NLP, Machine learning, Robotics, Large Language Models, and Reinforcement learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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