Applied Scientist - On-Robot Learning, Amazon Robotics - Vulcan Stow

Amazon

Seattle, Northern (WA, KY)

On-site

USD 143,000 - 193,000

Full time

14 days+
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Job summary

Amazon Robotics in Seattle, WA seeks an Applied Scientist for On-Robot Learning. You will deploy and evaluate manipulation policies on real robots, driving robust, scalable implementations and turning real-world data into policy improvements.

You will collaborate with cross-disciplinary teams, publish research, and contribute to advancing perception, control, and learning in complex environments. PhD or MS with robotics ML experience preferred.

Qualifications

  • 3+ years of building models for business application experience.
  • PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python or related language.
  • Hands-on experience deploying and evaluating learning-based control or manipulation on physical robots.
  • Strong background in reinforcement learning, learning-based manipulation, contact-rich control, or force/torque control.

Responsibilities

  • Deploy and evaluate learned manipulation policies on physical robots, focused on the long tail of diverse, demanding conditions.
  • Diagnose the gap between simulated and real behavior, and drive policy changes to close it.
  • Develop tactile, actuation, and contact-aware methods for fast, robust non-prehensile manipulation.
  • Write production-quality code and own scalable, real-time implementations on robots.
  • Build data collection, logging, and evaluation loops to turn real-world experience into policy improvements.
  • Collaborate with scientists and engineers across control, perception, and hardware to move ideas to demonstrated capability on hardware.
  • Represent Amazon Robotics in academia through publications and scientific presentations.

Skills

Java
C++
Python
Reinforcement learning
Learning-based manipulation
Robot control
Data logging

Education

PhD or Master's with 4+ years experience

Job description

Applied Scientist - On-Robot Learning, Amazon Robotics - Vulcan Stow

Job ID: 10499190 | Amazon.com Services LLC

Our organization in Amazon Robotics builds robots that perform contact-rich manipulation safely and reliably in complex, unstructured environments, at Amazon scale.

Our scientists and engineers push the boundaries of robotic manipulation to handle enormous object diversity, bringing deep expertise across planning, control, perception, and machine learning.

We learn from real-world data at a scale that few teams in robotics can access.

Key job responsibilities
  • - Deploy and evaluate learned manipulation policies on physical robots, focused on the long tail of diverse, demanding conditions.
  • - Diagnose the gap between simulated and real behavior, and drive the changes in policies, rewards, sensing, or control that close it.
  • - Develop tactile, actuation, and contact-aware methods that make non-prehensile manipulation fast, assured, and robust.
  • - Write production-quality code and own scalable, real-time implementations that run on robots.
  • - Build the data collection, logging, and evaluation loops that turn real-world experience into policy improvements.
  • - Partner with scientists and engineers across control, perception, and hardware to move ideas from prototype to demonstrated capability on hardware.
  • - Represent Amazon Robotics in academia through publications and scientific presentations.
A day in the life

Amazon offers a full range of benefits that assist you and eligible family members, including domestic partners.

Benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

Basic Qualifications
  • - 3+ years of building models for business application experience
  • - PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
  • - Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • - Experience programming in Java, C++, Python or related language
  • - Hands-on experience deploying and evaluating learning-based control or manipulation on physical robots
  • - Strong background in one or more of: reinforcement learning, learning-based manipulation, contact-rich control, or force/torque control
Preferred Qualifications
  • - Experience in professional software development
  • - Experience with contact-rich control or manipulation policies, tactile sensing, or compliant control on physical systems
  • - Experience deploying and supporting complex robotic systems at scale
  • - Publications in top robotics or machine learning venues (RSS, CoRL, ICRA, IROS, NeurIPS, ICML, etc.)

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, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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