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Amazon Graduate Jobs in Reston, VA (NOW HIRING)

Technical Architect

Bethesda, MD · On-site

$71 - $85.50/hr

Preferred: • Graduate Degree in Computer Science or Computer Engineering or • Expert ... Amazon RDS Aurora) • One or more Cloud Certifications: AWS Certified Solutions Architect ...

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Amazon Graduate information

See Reston, VA salary details

$11.4K

$46.3K

How much do amazon graduate jobs pay per year?

As of Jun 9, 2026, the average yearly pay for amazon graduate in Reston, VA is $43,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $45,300.00 per year, depending on experience, location, and employer.

What is an Amazon Graduate role?

An Amazon Graduate role is a position designed for recent university graduates who are beginning their careers at Amazon. These roles are typically part of structured graduate programs or entry-level positions in various departments such as operations, technology, business, or finance. The programs offer hands-on experience, mentorship, and training to help graduates develop professional skills and grow within the company. Amazon values innovation, leadership, and a willingness to take on challenges in these roles. Graduates often have opportunities to progress quickly and take on significant responsibilities.

What are the key skills and qualifications needed to thrive as an Amazon Graduate, and why are they important?

To thrive as an Amazon Graduate, you need a relevant bachelor's or master's degree, strong analytical abilities, and problem-solving skills. Familiarity with data analysis tools (such as Excel or SQL), project management systems, and sometimes programming languages like Python is often required. Strong communication, adaptability, and teamwork skills help you collaborate effectively and navigate a fast-paced, dynamic environment. These competencies ensure you can contribute to innovative projects, drive results, and grow within Amazon’s high-performance culture.

What types of projects do Amazon Graduates typically work on during their first year, and how are these assignments structured?

As an Amazon Graduate, you can expect to work on impactful, real-world projects that contribute directly to your team's goals. Assignments often involve cross-functional collaboration, allowing you to interact with experienced engineers, product managers, and business stakeholders. Projects are typically structured to provide both autonomy and mentorship, enabling you to learn quickly while making meaningful contributions. You'll regularly participate in team meetings, code reviews, and brainstorming sessions, helping you develop both technical and soft skills essential for career growth at Amazon.

What is the difference between Amazon Graduate vs Amazon Intern?

AspectAmazon GraduateAmazon Intern
CredentialsTypically recent graduates with a bachelor's or master's degreeStudents currently pursuing a degree, often undergraduate or master's
Work EnvironmentFull-time, permanent role with ongoing responsibilitiesTemporary, project-based or seasonal work, often part-time
Employer UsageHires graduates for entry-level roles across departmentsProvides practical experience and training for students

The Amazon Graduate program is a full-time, entry-level role designed for recent graduates seeking a permanent position, while Amazon Internships are temporary roles aimed at students gaining industry experience. Both roles offer exposure to Amazon's work environment but differ mainly in duration and employment status.

What are popular job titles related to Amazon Graduate jobs in Reston, VA? For Amazon Graduate jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Amazon Graduate jobs in Reston, VA look for? The top searched job categories for Amazon Graduate jobs in Reston, VA are:
What cities near Reston, VA are hiring for Amazon Graduate jobs? Cities near Reston, VA with the most Amazon Graduate job openings:
Infographic showing various Amazon Graduate job openings in Reston, VA as of June 2026, with employment types broken down into 4% As Needed, 93% Full Time, 2% Part Time, and 1% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $43,955 per year, or $21.1 per hour.
AI Engineer Intern (USPS) - Summer 2026

AI Engineer Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA • On-site

Other

Posted 3 days ago


Job description

Overview
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
*This position is currently full-time onsite at the customers Washington DC office.
Responsibilities
  • Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes
  • Develop and implement digital and analytic approaches
  • Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications
  • Research algorithms in machine learning to identify viable approaches to meet business requirements
  • Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning
  • Design solution prototypes that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)
  • Become familiar with DevSecOps principles to continuously deliver high-quality software
  • Work with Docker to develop and deploy containerized versions of models
  • Participate in design and code reviews, and collaborate with a strong, passionate engineering team
  • Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users
  • Interface with customer stakeholders to provide technical explanations and support

Qualifications
  • Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.
  • Currently enrolled in a Graduate (Masters) program highly preferred
  • Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline
  • Must be able to work for a minimum of 10-12 weeks beginning in Summer 2026 (May/June)
  • Comfortable working with agile teams, developing prototypes and functionality in short development sprints
  • Ability to work independently and collaborate effectively with a project team in an agile research and development environment
  • Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket
  • Ability to think critically to propose tractable solutions to complex problems
  • Effective written and verbal communication skills
  • Ability to communicate complex concepts to both technical and business-focused audiences
  • Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C++, C#, JavaScript and R demonstrate the necessary ability
  • Familiarity with the underlying mathematics of machine learning
  • Knowledge of data structures and data management principles, methods, and tools
  • Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML
  • Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code
  • Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.js
  • Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud
  • Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.