ZipRecruiter

Log In

1

Local Amazon Delivery Jobs in Washington (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsLocal Amazon Delivery JobsLocal Amazon Delivery Jobs in Washington

Local Amazon Delivery information

See Washington salary details

$16

$53

$106

How much do local amazon delivery jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for local amazon delivery in Washington is $53.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $106.20 per hour, depending on experience, location, and employer.

What is a local Amazon delivery driver?

Local Amazon Delivery drivers are responsible for transporting packages from Amazon distribution centers to customers' doorsteps within a specific geographic area. They typically work for Amazon Delivery Service Partners (DSPs) or as independent contractors through the Amazon Flex program. These drivers use Amazon-provided vehicles or their own cars, scan packages, plan delivery routes, and ensure timely, accurate, and safe deliveries. The role requires good organizational skills, time management, and the ability to navigate neighborhoods efficiently. It is a physically active job that involves lifting packages and interacting with customers.

What are the key skills and qualifications needed to thrive as a local Amazon delivery driver?

To thrive as a Local Amazon Delivery Driver, you need a valid driver's license, a clean driving record, and strong knowledge of local routes. Familiarity with GPS navigation systems, Amazon’s delivery apps, and handheld scanners is typically required. Reliability, time management, and excellent customer service skills help drivers excel in this fast-paced role. These abilities ensure timely, accurate deliveries and help maintain Amazon's reputation for efficient and friendly service.

What are some common challenges faced by local Amazon delivery drivers, and how can they be addressed?

Local Amazon Delivery drivers often face challenges such as navigating tight delivery schedules, managing high package volumes, and adapting to varying weather or traffic conditions. To address these, drivers can benefit from effective route planning, using navigation tools provided by Amazon, and maintaining clear communication with dispatchers and team members. Building good time management skills and staying organized can help reduce stress and ensure timely deliveries, while following safety protocols keeps drivers and packages secure.

What is the difference between Local Amazon Delivery vs FedEx Delivery Driver?

AspectLocal Amazon DeliveryFedEx Delivery Driver
Required CredentialsValid driver’s license, background check, vehicle insuranceValid driver’s license, background check, vehicle insurance
Work EnvironmentDelivering packages in residential/commercial areas, often using Amazon-branded vansDelivering packages in various neighborhoods, using FedEx vehicles
Employer & IndustryAmazon, e-commerce logisticsFedEx, courier and logistics services
Common Search & ComparisonYesYes

Both Local Amazon Delivery and FedEx Delivery Driver roles involve delivering packages using company vehicles, requiring similar credentials and working in comparable environments. The main difference lies in the employer and the specific logistics network they serve. Amazon focuses on e-commerce deliveries, while FedEx handles a broader range of courier services.

How do I become a local Amazon delivery driver?

To become a local Amazon delivery driver, you typically need to apply through Amazon's delivery service partner programs or directly on their careers website. Requirements often include a valid driver's license, a clean driving record, and a reliable vehicle such as a van or car; some roles may also require background checks and completion of a delivery driver training program. Candidates should be prepared for a flexible schedule and physical activity involved in package delivery.

What are the most commonly searched types of Amazon Delivery jobs in Washington?

The most popular types of Amazon Delivery jobs in Washington are:

What are popular job titles related to Local Amazon Delivery jobs in Washington?

For Local Amazon Delivery jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Local Amazon Delivery jobs in Washington look for?

The top searched job categories for Local Amazon Delivery jobs in Washington are:

What cities in Washington are hiring for Local Amazon Delivery jobs?

Cities in Washington with the most Local Amazon Delivery job openings:

Local Amazon Delivery jobs near you
Infographic showing various Local Amazon Delivery job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 23% Part Time, 2% Temporary, and 8% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $111,887 per year, or $53.8 per hour.

Data Scientist & Computer Vision & Data & Machine Learning

AIToolboard

Arlington, VA • On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Jobs / Data Scientist & Computer Vision & Data & Machine Learning

Data Scientist & Computer Vision & Data & Machine Learning

Full-time

About the Role

DescriptionThis position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.Join a sizeable team of data scientists, research scientists, and machine learning engineers that develop computer vision models on overhead imagery for a high-impact government customer. We own the entire machine learning development life cycle, developing models on customer data:

  • Exploring the data and brainstorming and prioritizing ideas for model development
  • Implementing new features in our sizable code base
  • Training models in support of experimental or performance goals
  • T&E-ing, packaging, and delivering models

We perform this work on both unclassified and classified networks, with portions of our team working on each network.We seek a new team member to work on the classified networks. Three to four days a week, you would travel to the customer site in Northern Virginia to perform tasking as described below. Weekdays when you do not travel to the customer site, you would work from your local Amazon office. You would work collaboratively with teammates to use and contribute to a well-maintained code base that the team has developed over the last several years, almost entirely in python. You would have great opportunities to learn from team members and technical leads, while also having opportunities for ownership of important project workflows. You would work with Jupyter Notebooks, the Linux command line, Apache AirFlow, GitLab, and Visual Studio Code. We are a very collaborative team, and regularly teach and learn from each other, so, if you are familiar with some of these technologies, but unfamiliar with others, we encourage you to apply - especially if you are someone who likes to learn. We are always learning on the job ourselves.

Key job responsibilities
  • Run data conversion pipelines to transform customer data into the structure needed by models for training
  • Perform EDA on the customer data
  • Train deep neural network models on overhead imagery
  • Develop and implement hyper-parameter optimization strategies
  • Test and evaluate models and analyze results
  • Package and deliver models to the customer
  • Incorporate model R&D from low-side researchers
  • Implement new features to the model development code base
  • Collaborate with the rest of the team on long term strategy and short‑medium term implementation.
  • Contribute to presentations to the customer regarding the team’s work
Basic Qualifications
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Bachelor’s degree or above in computer science, machine learning, engineering, or related fields
  • Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
  • Current, active US Government Security Clearance of Top Secret or above
Preferred Qualifications
  • Master’s degree or above in computer science, machine learning, engineering, or related fields
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving
  • Experience working on multi-team, cross‑disciplinary projects
  • Experience effectively communicating complex concepts through written and verbal communication
  • Experience in Linux, PyTorch, and Git workflows for MLOps

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, VA, Arlingt

#J-18808-Ljbffr

Apply