Applied Scientist - Computer Vision, Amazon Robotics

About the role

Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently in 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.

About the team

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 producing sub-250ms mesh reconstructions that drive downstream manipulation decisions. We operate at the intersection of research and production-scale deployment, building systems that must be both scientifically rigorous and operationally bulletproof. We are a tight-knit group of applied scientists and engineers who ship models that run on real robots in real fulfillment centers, not just papers or prototypes. Our culture values technical depth, rapid experimentation, and end-to-end ownership. If you want to push the boundaries of 3D computer vision, work with transformer and generative architectures at the frontier, and see your work directly impact how millions of packages reach customers - this is the team.

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

Basic qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language

Preferred qualifications

• Experience in analysis of large volume of data to drive analysis and to make decisions
• Knowledge of statistical modeling
• Experience in a fast paced, dynamic organization
• Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
• Extensive experience writing scientific papers, with multiple publications in top machine learning, computer vision or robotics conferences/journals, like CVPR, ICCV, ECCV, PAMI, NeurIPS, IROS, CoRL, etc.

Pay

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Benefits

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:

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