Simulation Engineer Intern Jobs in Washington (NOW HIRING)

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.  

• 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 

• 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.