Amazon
Senior Applied Scientist, Last Mile Delivery
Job ID: 3133112 | Amazon.com Services LLC
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 are building the future of last‑mile logistics while maintaining Amazon's highest standards for safety and reliability.
The Last Mile challenge blends real‑world complexity and technological innovation. We tackle 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 each package arrives safely as promised.
As an Applied Scientist on our team, you will develop computer vision and perception systems that enable us to understand and interact with the physical world. You will design and implement deep learning models for visual perception, build decision‑making algorithms, and create robust systems that allow AI agents to operate safely across diverse geographic areas. You will research environments ranging from dense urban centers to suburban neighborhoods, each presenting unique visual and navigational challenges that require innovative solutions in perception and control.
What Makes This Role Exciting? • 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.
Basic Qualifications
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 Qualifications
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: November 25 2025 (Updated 3 days ago)
#J-18808-Ljbffr
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 are building the future of last‑mile logistics while maintaining Amazon's highest standards for safety and reliability.
The Last Mile challenge blends real‑world complexity and technological innovation. We tackle 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 each package arrives safely as promised.
As an Applied Scientist on our team, you will develop computer vision and perception systems that enable us to understand and interact with the physical world. You will design and implement deep learning models for visual perception, build decision‑making algorithms, and create robust systems that allow AI agents to operate safely across diverse geographic areas. You will research environments ranging from dense urban centers to suburban neighborhoods, each presenting unique visual and navigational challenges that require innovative solutions in perception and control.
What Makes This Role Exciting? • 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.
Basic Qualifications
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 Qualifications
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations
for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: November 25 2025 (Updated 3 days ago)
#J-18808-Ljbffr