Summer 2026 Intern - AI/ML Engineer
About The Position
This is for a summer 2026 internship role in our Reston, VA office. This will be onsite 5 days a week. As an AI/ML Engineer Intern with our team, you will be working with our federal clients to rapidly develop innovative proof of concept, prototype, and enterprise solutions for our clients’ immediate mission challenges. In your role, you may work on multiple projects with teams of other data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. As an AI/ML engineer you will be working closely with federal clients providing services to develop AI/ML models and weights to selected data to facilitate object detection, data triage, search/optimization, inference, facial recognition, behavior detection, and automated discovery and decision making, maintaining model versioning system and experience identifying new vulnerabilities in models. On our team, you will: Identify, apply, and adapt the latest research methodologies and open-source solutions Develop and train new machine learning models Identify, curate, and process large data sets Research, apply, analyze, and document technical approaches and their outcomes Have opportunities to use various types of compute resources including on premises hardware and cloud resources
Requirements
- A GPA of 3.3 or higher.
- U.S. citizenship
- Demonstrated analytical skills, strong written and oral communications, and collaboration skills.
- Must be actively pursuing an undergraduate or graduate degree with at least one semester remaining before graduation.
- All degrees must be in a STEM field such as computer science, statistics, data analytics, computer engineering, mathematics, and physics
- Ability to obtain and maintain a Top Secret with SCI and Polygraph
Nice To Haves
- The ideal candidate has proficiency with major data science tools and languages such as Python, R, PostgreSQL/SQL, Spark, and Git
- Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data
- Familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus
Responsibilities
- Identify, apply, and adapt the latest research methodologies and open-source solutions
- Develop and train new machine learning models
- Identify, curate, and process large data sets
- Research, apply, analyze, and document technical approaches and their outcomes
- Have opportunities to use various types of compute resources including on premises hardware and cloud resources
Benefits
- health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs
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What This Job Offers
Career Level
Intern
