Applied Scientist - Computer Vision, Amazon Robotics

Amazon.com Services LLC; Seattle (WA); On-site; USD 150,000 - 230,000; Full time

Job summary

Amazon Robotics seeks hands-on Applied Scientists to develop scalable vision systems and AI for real-world robotic fulfillment environments. You will build and deploy high-performance models, work across teams to translate requirements into robust software, and mentor peers while delivering practical, deployable solutions.

You will lead projects that push the boundaries of perception, scene understanding, and autonomous manipulation within Amazon’s dense logistics network, contributing to safe,

Responsibilities

• Architect, design, and implement Machine Learning models for vision systems on robotic platforms
• Optimize, deploy, and support at scale ML models on the edge
• Work with stakeholders across science and operations teams to iterate on design and implementation
• Mentor other engineer team members and lead by example

Job description

Do you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans-at Amazon scale. Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently high density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.

We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large scale generative models, closed-loop control, robotic grasping and manipulation, all of which have high-value impact for our current and future fulfillment networks.

We are seeking a hands-on, seasoned Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item understanding, pose estimation, multi-view scene completion, class imbalanced classifiers, identification and segmentation. As a Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and active learning.

As a Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment.

You should enjoy the process of solving real-world problems that, quite frankly, hasn't been solved at scale anywhere before. Along the way, we guarantee you'll get opportunities to be a disruptor, prolific innovator, and a reputed problem solver, someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.

Key job responsibilities

• Architect, design, and implement Machine Learning models for vision systems on robotic platforms
• Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.
• Work with stakeholders across , science, and operations teams to iterate on design and implementation.
• Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.
• Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment
• Work directly with customers and partners to test prototypes and incorporate feedback
• Mentor other engineer team members.

A day in the life

Amazon offers a full range of benefits for 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

About the team

https://www.youtube.com/watch?v=2X4CU3jmw-g

The Vulcan Stow Perception team builds the visual intelligence that enables Amazon's next-generation robotic stow systems to understand and interact with densely packed fulfillment environments. We own the full perception stack, from raw sensor input to actionable 3D scene representations, powering robots that autonomously stow millions of items daily across Amazon's global network.

Our team tackles some of the hardest unsolved problems in 3D robotic perception: completing occluded scenes from partial observations, generating real-time semantic occupancy predictions, fusing multi-camera inputs (pedestal and end-of-arm tool), and produci