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Senior Applied Scientist, Last Mile Delivery

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Amazon Science
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Job Overview

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, while maintaining Amazon's highest standards for safety and reliability.

Responsibilities

As an Applied Scientist on the Last Mile Technology team, you will develop computer vision and perception systems that enable AI agents to understand and interact with the physical world. You will 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 will span 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.
  • 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 applications.
  • PhD, or Master’s degree and 6+ years of applied research experience.
  • Experience programming in Java, C++, Python, or a 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.
EEO Statement

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

Benefits

Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on 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.

Salary range:  –  USD annually.

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Position Requirements
10+ Years work experience
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