Principal Applied Scientist - CV/ML, Amazon Robotics

Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of 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 subject matter experts in AI with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, simultaneous localization and mapping, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.

We are seeking an exceptional Principal Applied Scientist to join our organization, who possesses a deep understanding of both classical computer vision techniques and state-of-the-art machine learning approaches. The ideal candidate will be hands-on, coding-proficient, and a thought leader capable of influencing the direction of ML applied to Perception and Robotics.

Key qualifications:
* Extensive experience in computer vision, from traditional methods (e.g., SIFT, SURF, optical flow) to modern deep learning architectures
* Profound understanding of advanced vision models such as Vision Transformers (ViTs), MultiMAE, and their applications
* Expertise in generative models, particularly diffusion models and their applications in robotics (e.g., diffusion policy)
* Proven track record in developing scalable ML frameworks for online/offline learning, large language models, prediction systems, and continuous model optimization
* Strong background in 3D vision, including multi-view geometry, SLAM and 3D reconstruction



Key job responsibilities
* Set the technical direction for the group, bridging classical computer vision techniques with cutting-edge deep learning approaches
* Drive research and development of advanced perception systems, incorporating the latest advancements in self-supervised and multi-modal learning
* Collaborate with top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems
* Lead the integration of vision-language models and foundation models into perception pipelines
* Develop novel approaches for few-shot learning and domain adaptation in robotic perception
* Advance the state-of-the-art in areas such as 3D scene understanding, object pose estimation, and activity recognition
* Drive ideas to products using a comprehensive toolset including deep learning, active learning, and computer vision (camera selection, camera calibration, instance and semantic segmentation, pose estimation, activity understanding)
* Mentor and guide team members in adopting best practices and staying current with rapid advancements in the field

The ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in top-tier conferences (CVPR, ICCV, NeurIPS, ICML, etc.) and practical experience applying advanced ML techniques to real-world robotics problems.

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

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!


About the team