Senior Applied Scientist, Computer Vision and Robotics, Amazon Robotics

Amazon.com Inc.; Reading (MA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401(k) Plan

Job summary

Amazon Robotics seeks a Senior Applied Scientist to advance computer vision and ML for robotic sensing hardware. The role blends ML research with hardware, guiding sensor selection, compute architectures, and edge inference on real robots across fulfillment centers.

You will co-develop production-grade perception systems, publish research, mentor engineers, and push the state of the art while ensuring practical deployment and reliability at scale.

Qualifications

• PhD or Master’s degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python.
• Proven ability to deliver complex DL/vision systems to customers.
• Experience with PyTorch, TensorFlow, or equivalent.
• Experience with 2D/3D vision tasks and edge deployment.
• Strong written and verbal communication for executives.

Responsibilities

• Co-define sensing and compute hardware requirements with senior engineers.
• Develop and optimize computer vision and DL models for robotic perception for edge deployment.
• Lead ML experimentation and validation influencing hardware architecture.
• Design benchmarking frameworks for sensing hardware performance.
• Collaborate with hardware, software, and robotics teams to transition prototypes to production.

Skills

Java

C++

Python

Deep learning

Computer vision

Edge deployment

Communication

Education

PhD

Master's degree

Tools

PyTorch

TensorFlow

OpenCV

CUDA

Job description

Senior Applied Scientist, Computer Vision and Robotics, Amazon Robotics

Job ID: 10592196 | Amazon.com Services LLC

Come shape the future of robotic sensing hardware by building the computer vision and ML systems that define how every robot in Amazon's global fulfillment network sees, senses, and understands the world. This is applied science embedded in a hardware development team where you directly shape what gets built, manufactured, and deployed at scale.

As a Senior Applied Scientist on the Amazon Robotics Sensing and Compute hardware team, you will be the ML and perception expert working alongside the Principal Applied Scientist and Principal Hardware Development Engineer to shape the future of deployed and scaled sensing hardware. You will influence sensor selection, compute architecture, optical design, and system level trade offs, ensuring the hardware we build is purpose designed for the algorithms that run on it. You will help define what the next generation of cameras, depth sensors, and edge compute modules need to be, and then prove it with data, experimentation, and production validation.

What makes this role unique

• Embedded in the hardware development team, directly influencing what gets designed, manufactured, and shipped
• Partner with the Principal Engineers to co define the sensing and compute hardware roadmap for every major Amazon Robotics program
• Own the ML experimentation and validation that drives hardware architecture decisions for cameras, depth sensors, and edge compute
• Solve perception problems no other company is tackling: safety rated vision, multi modal sensor fusion, and real time inference on resource constrained hardware
• Ship to hundreds of fulfillment sites worldwide across autonomous mobile robots, manipulation workcells, barcode sensing, and safety rated human collaborative systems
• Your work does not sit in a research queue. It goes into production hardware that enables the future of Amazon Robotics

Key job responsibilities

• Partner with the Principal Hardware Development Engineer and Principal Applied Scientist to co define sensing and compute hardware requirements, ensuring ML and perception needs drive sensor selection, optical design, compute architecture, and system level trade offs
• Develop and optimize computer vision and deep learning models for robotic perception including object detection, depth estimation, scene understanding, and barcode recognition, purpose built for edge deployment on resource constrained hardware
• Lead ML experimentation and validation that directly informs hardware architecture decisions for cameras, depth sensors, and edge compute modules
• Design and execute benchmarking frameworks to evaluate sensing hardware performance across diverse robotic use cases, providing data driven recommendations on what to build next
• Optimize models for production edge deployment including quantization, pruning, distillation, and inference pipeline tuning to meet strict latency, power, and accuracy requirements
• Drive research and experimentation on next generation perception capabilities in collaboration with the Principal Applied Scientist, including multi modal sensor fusion, safety rated vision, and real time inference for autonomous and human collaborative robotics
• Collaborate cross functionally with hardware engineers, software developers, and robotics program teams to transition models from prototype through production validation and fleet deployment
• Contribute to the sensing and compute hardware roadmap alongside the Principal Applied Scientist, identifying where ML trends and emerging capabilities require new hardware architecture or sensor modalities
• Mentor engineers and scientists on ML best practices for embedded systems and production robotics
• Publish and present research to advance the state of the art in robotic perception

A day in the life

In this role you will work at the intersection of machine learning and physical robotics hardware. You will collaborate with hardware engineers to evaluate how your models perform on real sensors and edge compute, run experiments that directly influence what gets built next, and validate perception systems alongside robotics program teams. You will push the boundaries of computer vision for robotic applications while seeing your work deploy on real robots in real fulfillment centers. This is applied science with immediate, measurable impact at a scale no other robotics company can offer.

Amazon offers a full range of benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
• Experience with one or more deep learning frameworks such as PyTorch, TensorFlow, or equivalent
• Experience with 2D and 3D vision tasks including object detection, segmentation, depth estimation, or point cloud processing
• Experience optimizing ML models for deployment on resource constrained hardware including quantization, pruning, or distillation techniques
• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders

Preferred Qualifications

• PhD, or PhD and 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
• Experience with robotic perception systems in industrial, warehouse, or manufacturing environments
• Experience with sensor fusion across multiple modalities (RGB, depth, lidar, time of flight)
• Familiarity with edge compute hardware and embedded inference pipelines
• Experience with real time computer vision systems operating under strict latency and power constraints
• Track record of transitioning research prototypes to production systems deployed at scale
• Experience with safety critical ML applications or functional safety requirements
• Experience collaborating with hardware engineering teams on sensor selection, optical design, or compute architecture trade offs
• Experience with image signal processing pipelines and camera system characterization
• Experience mentoring scientists or engineers in applied research environments

Equal Opportunity Employer Statement

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.

Salary and Benefits

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 .

Location and Salary Range

USA, MA, North Reading - 167,100.00 - 226,100.00 USD annually

USA, MA, Westboro - 167,100.00 - 226,100.00 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. Veterans, military spouses, and people with disabilities are encouraged to apply.