Senior Applied Scientist, Last Mile Delivery

Amazon; Bellevue (WA); On-site; USD 167,100 - 226,100; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is looking for a Senior Applied Scientist to join its Last Mile Technology team in Bellevue, WA. You will develop advanced computer vision systems that power AI agents to enhance package delivery.

The ideal candidate has over 3 years of experience in machine learning and holds a PhD or Master’s degree, with strong programming skills in Java, C++, or Python. Amazon offers a competitive salary package including stock options and comprehensive benefits.

Qualifications

• 3+ years of experience building machine learning models for business applications.
• Experience with neural deep learning methods and machine learning.
• Strong programming skills in Java, C++, Python or related languages.

Responsibilities

• Develop computer vision and perception systems for AI agents.
• Design and implement deep learning models for visual perception.
• Create robust systems to navigate complex delivery environments.

Skills

Machine learning

Computer vision

Deep learning

Programming in Java, C++, Python

Education

PhD or Master's degree

Tools

R

scikit-learn

TensorFlow

Hadoop

Spark

Job description

Senior Applied Scientist, Last Mile Delivery

Job ID: 10433879 | 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'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 centres to suburban neighbourhoods, 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 modelling 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.

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

Posted: April 10, 2026 (Updated about 19 hours ago)

Posted: June 2, 2026 (Updated 2 days ago)

Posted: May 20, 2026 (Updated 2 days ago)

Posted: May 29, 2026 (Updated 3 days ago)