Sr. Applied Scientist - Computer Vision, Amazon Robotics

Full-time - Senior

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Applied Scientist at Amazon Robotics will focus on developing high-performance, real-time robotic systems that leverage AI to enhance fulfillment processes. This role involves building scalable computer vision systems, mentoring team members, and driving innovative solutions to complex challenges in robotics. The position requires a blend of technical expertise, project management skills, and the ability to collaborate effectively with various stakeholders to deliver impactful AI-driven solutions.

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 and designing for fault tolerance and operational excellence.
• Prototype and test concepts or features through simulation and with live robotic equipment.
• Work directly with customers and partners to test prototypes and incorporate feedback.
• Mentor other engineer team members.

Requirements

• 6+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.
• Demonstrated expertise in computer vision and machine learning techniques for robotics systems.

Nice-to-haves

• Extensive experience writing scientific papers, with multiple publications in top machine learning, computer vision or NLP conferences/journals.
• Expertise in generative models, 3D vision, transformers, or other computer vision, LLMs or machine learning techniques.
• Experience in large data analysis.
• Solid knowledge of statistics and probability.
• Experience working in a fast paced, highly collaborative, dynamic work environment.
• Ability to communicate effectively across multiple organizations in the company.

Benefits

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