Senior Applied Scientist, Last Mile Delivery Automation

- 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
- 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.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 167,100.00 - 226,100.00 USD annually
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.

Key job 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

A day in the life
A typical day for a Senior Applied Scientist begins with analyzing experimental results from recent model deployments. They might spend the morning developing new deep learning architectures for sensor fusion or improving prediction models for pedestrian behavior. Mid-day could involve collaborating with engineering teams to optimize model performance and reduce inference latency. Afternoon activities might include designing experiments to validate new approaches, reviewing research papers for potential application, and participating in technical discussions to solve challenging problems in perception or planning. They would regularly engage in code reviews, documentation of methods, and mentoring of team members. The role requires balancing innovative research with practical implementation, ensuring that scientific advances translate into reliable autonomous system capabilities.

About the team
The Applied Science team within Amazon's Last Mile Delivery Automation organization focuses on developing cutting-edge machine learning solutions for autonomous systems. We work at the intersection of computer vision, deep learning, robotics, and control systems to create robust and scalable algorithms that enable safe autonomous operation. Our team combines expertise from diverse scientific backgrounds to tackle fundamental challenges in perception, prediction, and decision-making. We collaborate closely with software engineering teams to deploy our solutions across Amazon's autonomous delivery fleet.