Senior Applied Scientist, Last Mile Delivery
Company: Amazon
Location: Santa Clara
Posted on: April 2, 2026
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Job 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. 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 - 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. 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.
Keywords: Amazon, San Francisco , Senior Applied Scientist, Last Mile Delivery, Engineering , Santa Clara, California