Expedition Technology (EXP) is seeking a Software / Machine Learning Engineer who enjoys building intelligent systems that combine machine learning, automation, and modern software engineering. We’re looking for engineers who can develop scalable production software while integrating machine learning models, AI services, and automated workflows to solve challenging real-world problems. This role focuses on building next-generation AI-enabled systems that orchestrate machine learning models, gather and analyze information from multiple sources, and deliver actionable results to users in mission environments. 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 a talented, collaborative team in an Agile environment to develop new AI-enabled capabilities. Design and develop software systems that integrate machine learning models into operational workflows. Build agentic workflows that can automatically perform inference, gather additional information, query tools and services, and disseminate results. Develop and maintain scalable backend services using Python, containerized technologies, and cloud-native architectures. Collaborate with engineers and researchers to deploy and operationalize machine learning capabilities. Design and implement APIs and data pipelines that support model execution, information retrieval, and downstream consumers. Develop retrieval-based and knowledge-enhanced workflows to support difficult reasoning and analysis tasks. Contribute to SDLC best practices, automated testing, and software quality initiatives. Identify and resolve performance, scalability, and reliability bottlenecks across the system. Help shape the architecture of next-generation AI and machine learning systems.
Qualifications we're seeking:
U.S. Citizenship; ability to obtain and maintain a U.S. Government security clearance. Active Secret clearance at minimum. Active TS/SCI security clearance strongly preferred. BA/BS or higher in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or a closely related field. 3+ years of experience developing production software using Python. Experience designing and implementing backend services and APIs. Experience building, deploying, integrating, or supporting machine learning systems. Familiarity with cloud-native environments and AWS services. Experience with Docker, Kubernetes, or other containerized deployment technologies. Understanding of machine learning workflows, model deployment, and inference pipelines. Familiarity with retrieval systems, knowledge-based systems, search technologies, or RAG architectures. Experience integrating multiple services, APIs, or models into end-to-end workflows. Comfortable working in Linux environments and using command-line tooling. Experience using Git-based development workflows and software engineering best practices. Ability to work independently while collaborating effectively within a multidisciplinary team. Strong desire to learn new technologies and solve challenging technical problems.
Preferred Qualifications:
Experience with large language models (LLMs), agentic systems, or AI workflow orchestration. Experience with computer vision, object detection, or multi-modal machine learning systems. Experience with distributed systems, event-driven architectures, or message-based processing. Experience deploying ML applications in AWS environments. Experience supporting systems in classified or mission-critical environments.
Compensation
Salary Ranges by Career Level:
Early-career: $95,600 - $147,200 Mid-career: $130,300 - $209,900 Late-career: $154,600 - $242,900
We recognize that every candidate brings a unique combination of experience and expertise. This position may be filled at multiple career levels , and compensation within the posted range will be determined based on relevant experience, education, technical expertise, specialized skills, the level at which the position is filled , and other job-related considerations. Who is Expedition Technology? Expedition Technology (EXP) designs, develops, and delivers innovative solutions with national impact for the defense and intelligence communities. We use machine learning, artificial intelligence, and other advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to solve challenging problems creatively. Headquarted in Northern Virginia's high-tech corrdor, EXP is a rapidly growing, privately held company that pushes the boundaries of what is possible every day. To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn . Interested in joining our team? Let’s explore together. Join Our Team and Enjoy Exceptional Benefits! Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Here’s a glimpse of the outstanding benefits you can enjoy when you join our team: Company-paid medical, dental, and vision insurance Generous Time Off : Enjoy 11 paid holidays, up to 34 days of PTO Robust 401(k) Plan : Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing. Student Loan Repayment : Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster. Paid Parental Leave
:
Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member. Tuition Reimbursement : Pursue further education with up to $5,250/year available to support your continuous learning and growth. Referral Bonus Program : Earn rewards for bringing talented individuals into our team. Exclusive Entertainment Perks : Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life. Onsite Amenities : Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options. Inspiring Work Culture : Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards. Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us! EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.