About the job
We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms and models that power our autonomous vehicle perception, prediction, and decision-making systems. You will combine rigorous scientific methodology with practical engineering to solve complex problems in real-world autonomous navigation and delivery.
Responsibilities
Design and develop advanced machine learning models and algorithms for autonomous vehicle systems
Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning
Transform research concepts into production-ready solutions that meet strict safety and performance requirements
Develop novel approaches to solve complex technical challenges in autonomous navigation
Create and implement metrics and evaluation frameworks to measure model performance
Collaborate with engineering teams to integrate ML solutions into the autonomous vehicle stack
Publish research findings and represent Amazon at technical conferences
Mentor junior scientists and contribute to building a culture of scientific excellence
Qualifications
Minimum
3+ 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
Preferred
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.