Senior Applied Scientist, Last Mile Delivery

Description

Join Amazon's Last Mile Technology Revolution!

Are you ready to reshape the future of logistics? Join us in transforming how millions of packages reach their final destination through state-of-the-art technology and innovation!

The Last Mile Technology organization is pioneering advanced solutions that are revolutionizing Amazon Logistics (AMZL). Our mission is to create intelligent, efficient, and scalable systems that will transform the delivery experience. We’re building the future of last‑mile logistics while maintaining Amazon's highest standards for safety and reliability.

The Last Mile challenge is a fascinating blend of real‑world complexity and technological innovation. We’re tackling multidimensional problems that involve enabling AI agents to perceive and navigate complex delivery environments, understanding dynamic scenes through visual data, and adapting to everything from unexpected obstacles to varying weather and lighting conditions – all while ensuring every package arrives safely as per our promise.

As an Applied Scientist on our Last Mile Technology team, you’ll be at the forefront of developing computer vision and perception systems that enable us to understand and interact with the physical world. You’ll design and implement deep learning models for visual perception, build algorithms that enable decision‑making, and create robust systems that allow AI agents to operate safely across diverse geographical areas.

Your research must excel in environments ranging from dense urban centers to suburban neighborhoods, each presenting unique visual and navigational challenges that require innovative solutions in perception and control.

Real‑World Impact:
Your computer vision models and control algorithms will power AI agents that deliver millions of packages to customers, making their lives better every day.

Scale That Matters:
Develop perception systems that operate across thousands of delivery agents in different cities, weather conditions, lighting scenarios, and dynamic environments.

Innovation at Scale:
Publish novel research and create entirely new approaches to visual perception, scene understanding, and control systems.

End‑to‑End Science:
Work on complete solutions from object detection and tracking to path planning and control, from sim‑to‑real transfer to real‑world deployment and continuous learning from agent experiences.

• 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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