New

Software/Machine Learning Engineer

Expedition Technology
United States, Virginia, Herndon
13865 Sunrise Valley Drive (Show on map)
Apr 22, 2026
Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things. We're looking for an engineer who wants to work with and support the latest in computer vision related application development ensuring that security, performance, maintainability, scalability, usability and reliability are considered. We hire people who excel at what they do and empower them to innovate with flexibility and autonomy. As a member of our team, you will: work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks. develop features, automated workflows and bug fixes for the system using Python 3, Docker, Kubernetes and AWS services. collaborate with a team to develop deep learning architectures and pipelines for novel applications. contribute to SDLC and coding best practices. develop and design RESTful APIs and streaming services. identify and resolve performance bottlenecks. Does this sound like a challenge you'd like to embrace? Here are some of the skills we are looking for: United States Citizenship: Due to clearance and contractual requirements, all candidates must be able to obtain and maintain a US Government issued security clearance Active Top Secret or higher security clearance (TS/SCI preferred) BA/BS or higher in Computer Science, Computer Engineering or closely related field At least 3 years + experience with backend development, ideally in AWS Cloud environments Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability, and durability) Some experience with integrating Kubernetes, Docker or other containerized ecosystems Familiarity with object-oriented design and languages - emphasis on Python and Javascript Some experience or interest in designing and implementing machine learning pipelines to deploy machine learning models in a containerized environment Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting) Configuration Management (CM) experience using Git and familiarity with branching strategies Enjoy learning new technologies and creating compelling software Work with minimum supervision as part of a collaborative, agile team