Sr. Applied Scientist , Mobile Manipulation Robotics (IO)

About the Role
Amazon Robotics is transforming warehouse automation through edge AI and machine learning applied to real-world robotics challenges. Were seeking a Senior Applied Scientist to advance our mobile manipulation capabilities by developing learning-based approaches that enable robots to navigate and manipulate objects in dynamic fulfillment environments. This role offers the opportunity to apply state-of-the-art research to production systems operating at Amazons unprecedented scale.

What Youll Do
As a Senior Applied Scientist youll develop and deploy machine learning models that enable mobile manipulators to perform complex tasks autonomously. Youll work at the intersection of perception learning and control to create intelligent systems that can adapt to diverse warehouse scenarios with minimal task-specific programming.


Key job responsibilities
Design develop train and deploy deep learning models for perception tasks (e.g. object detection segmentation pose estimation tracking)
Develop and maintain robust camera calibration pipelines (intrinsic extrinsic hand-eye calibration multi-camera systems)
Build perception systems for robotic manipulation including grasp detection object pose estimation and visual servoing
Improve model performance through architecture optimization data curation and training strategies
Build and maintain production-quality perception codebases with proper testing and documentation
Profile and optimize models for real-time inference on embedded/edge platforms
Collaborate with cross-functional teams (robotics motion planning controls) to integrate perception outputs for manipulation tasks
Establish best practices for model versioning experiment tracking and MLOps
Mentor junior engineers and contribute to technical roadmap planning


A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The 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

If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

About the team
Are you inspired by invention Is problem solving through teamwork in your DNA Do you like the idea of seeing how your work impacts the bigger picture Answer yes to any of these and youll fit right in here at Amazon Robotics. We are a smart collaborative team of enthusiastic doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we cant even image yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding fulfilling and fun

- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- 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.

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 for more information. If the country/region youre applying in isnt 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 MA North Reading - 167100.00 - 226100.00 USD annually
USA WA Bellevue - 167100.00 - 226100.00 USD annually