Sr. Applied Scientist , Mobile Manipulation Robotics (I/O)

Amazon•North Reading, MA

1d•Onsite

About The Position

Amazon Robotics is transforming warehouse automation through edge AI and machine learning applied to real-world robotics challenges. We're 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 Amazon's unprecedented scale. As a Senior Applied Scientist, you'll develop and deploy machine learning models that enable mobile manipulators to perform complex tasks autonomously. You'll 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.

Requirements

3+ years of building machine learning models for business application experience
PhD, or Master's 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

Nice To Haves

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.

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

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
sign-on payments
restricted stock units (RSUs)
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
parental leave