About the job
Are you ready to revolutionize the future of aerial delivery? Join our pioneering team working on autonomous drone technology that will transform how Amazon delivers to customers. As a Manager III, Applied Science for our Perception team, you'll lead scientists and engineers building world-class machine learning models and computer vision and new frontier model based systems that enable drones to safely navigate complex environments.
In this high-impact role, you'll guide the development of perception systems combining radar, machine learning, and distributed computing to solve unprecedented challenges in autonomous flight. Your work will directly shape the future of Amazon's drone delivery service, bringing innovative solutions to customers while pushing the boundaries of what's possible in autonomous systems technology.
Responsibilities
Lead and mentor a team of scientists and software engineers developing advanced perception systems that integrate computer vision, machine learning algorithms, and detect-and-avoid capabilities for autonomous drones
Define and drive the technical vision and roadmap for perception technology, making strategic architectural decisions that balance current delivery needs with long-term innovation goals
Collaborate with cross-functional teams including hardware engineers, autonomy specialists, and product stakeholders to deliver scalable, distributed systems that meet rigorous safety and performance requirements
Establish audit mechanisms and metrics to track system performance, model accuracy, and team progress against goals, using data-driven insights to continuously improve customer experience
Build and grow an inclusive, high-performing team through effective hiring, mentoring, and career development while fostering a culture of innovation and technical excellence
Qualifications
Minimum
3+ years of scientists or machine learning engineers management experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Master's degree, or PhD
Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
Preferred
Experience building machine learning models or developing algorithms for business application
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals