AI Engineer Intern (USPS) - Summer

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)