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
- Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
- The listed pay starts 10% above the typical applied scientist posting on Level.
- Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
- Level lists 22,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
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 Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- 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
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- 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
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
Pay
- This job starts at
- $184k
- Typical applied scientist job
- $167k
This posting starts 10% 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?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- What's a project where you used scikit-learn hands-on?
- Walk me through how you've used JAX in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: NLP, PyTorch, TensorFlow, scikit-learn, and JAX. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new applied scientist jobs (Builds AI ●●●●) by email
One email a week with the new applied scientist jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Research roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step