Senior Applied Scientist

Saved job description

Amazon Industrial Robotics is on a mission to redefine the future of

automation — and we're looking for exceptional talent to help lead the way.

We are building the next generation of advanced robotic systems that

seamlessly blend cutting-edge AI, sophisticated control systems, and novel

mechanical design to create adaptable, intelligent automation solutions

capable of operating safely alongside humans in dynamic, real-world

environments.

At Amazon Industrial Robotics, we leverage the power of machine learning,

artificial intelligence, and advanced robotics to solve some of the most

complex operational challenges at a scale unlike anywhere else in the world.

Our fleet of robots spans hundreds of facilities globally, working in

sophisticated coordination to deliver on our promise of customer excellence

— and we're just getting started.

As a Sr. Applied Scientist in Robot Perception, you will be at the forefront of

this transformation. You will develop and deploy state-of-the-art perception

algorithms that enable robots to truly understand and interact with the

physical world — bridging the gap between theoretical research and realworld

impact. Bringing deep expertise in Computer Vision and a nuanced

understanding of the capabilities and limitations of modern Vision-Language

Models (VLMs), you will innovate boldly and push the boundaries of what's

possible. Our vision for the Perception layer is ambitious: to enable seamless,

intelligent interaction between the user, the robot, and its environment.

This is a rare opportunity to work at the intersection of deep learning, large

language models, and robotics — contributing to research that doesn't just

advance the field, but reshapes it. You will collaborate with world-class teams

pioneering breakthroughs in dexterous manipulation, locomotion, and humanrobot

interaction, all at an unprecedented scale.

Key job responsibilities

Design, develop, and deploy perception algorithms for robotics systems,

including object detection, segmentation, tracking, depth estimation, and

scene understanding

• Lead research initiatives in computer vision, sensor fusion and 3D

perception

• Collaborate with cross-functional teams including robotics engineers,

software engineers, and product managers to define and deliver

perception capabilities

• Drive end-to-end ownership of ML models — from data collection and

labeling strategy to training, evaluation, and deployment

• Mentor junior scientists and engineers; contribute to a culture of

technical excellence

• Define and track key metrics to measure perception system performance

in real-world environments

• Publish research findings in top-tier venues (CVPR, ICCV, ECCV, ICRA,

NeurIPS, etc.) and contribute to patents

A day in the life

Train ML models for deployment in simulation and real-world robots,

identify and document their limitations post-deployment

• Drive technical discussions within your team and with key stakeholders to

develop innovative solutions to address identified limitations

• Actively contribute to brainstorming sessions on adjacent topics, bringing

fresh perspectives that help peers grow and succeed — and in doing so,

build lasting trust across the team

• Mentor team members while maintaining significant hands-on

contribution to technical solutions

About the team

Our Industrial Robotics Group is a diverse group of scientists and engineers

passionate about building intelligent machines. We value curiosity, rigor, and a bias for action. We believe in learning from failure and iterating quickly toward solutions that matter.

Requirements: - Experience programming in Java, C++, Python or related language

- PhD in Computer Science, Electrical Engineering, Robotics, or a related

- field

- • 4+ years of hands-on experience in computer vision, 3D perception, or

- sensor fusion

- • Strong proficiency in Python and/or C++

- • Experience with deep learning frameworks (PyTorch, TensorFlow, or

- equivalent)

- Job Description http[local path removed]

- 3 of 9 4/30/26, 5:07 PM

- • Proven track record of delivering ML/perception systems to production

- • Strong publication record or equivalent applied research experience