AI Engineer Intern (USPS) - Summer 2026
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About this role
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