Machine Learning Engineer (TS/SCI)

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. This position requires an active U.S. Government Security Clearance at the TS/SCI level. The goal of this R&D program is to identify, mature, and operationalize advanced artificial intelligence, machine learning (AI/ML), and computer vision capabilities that rapidly address mission needs. The solution best-of-breed industry capabilities to deliver scalable, high-performance AI/ML and Automatic Target Recognition (ATR) solutions. This effort drives collaboration across R&D programs, accelerating technology transition, enterprise adoption, and customer mission impact. We want a self-motivated engineer who is comfortable digging into data, trying innovative approaches, and isn't afraid to fail fast and move on to other techniques/ideas. Responsibilities: Contribute to multi-disciplinary AI/ML engineering teams to design, implement, and evaluate machine learning solutions that leverage multi-INT data Contributes to the design, development, and implementation of Machine Learning Operations pipelines for continuous integration and deployment of computer vision models. Collaborate with diverse teams of engineers, clients, and users Develop analytics/derivative data products to help users extract meaningful knowledge Implement best practices for version control, model reproducibility, and governance. Minimum Qualifications: US citizenship and a current TS/SCI clearance (with willingness to get a CI Polygraph). 5+ years of programming experience with at least one general purpose programming language (Python, Typescript, Java, C/C++) B.S. in Statistics, Math, Data Science, Computer Science, Engineering, Physics, or related field Proficiency with the Python data science and AI/ML stack (e.g., pytorch, tensorflow, numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent Experience with data extraction, manipulation, visualization, and analysis of large datasets Strong understanding of machine learning principles and model lifecycle management. Strong problem-solving mindset and adaptability, with the ability to leverage emerging technologies to solve mission challenges Preferred Qualifications : Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights. Demonstrated experience in software development, including design, development, and implementation Experience designing, developing, testing, and deploying a wide variety of AI/ML or CV models across diverse data types Experience working with containerization and orchestration technologies, including Docker and Kubernetes, in cloud or hybrid environments Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines Proactive approach to trouble shooting and problem-solving issues Proficiency in Linux-based environments Proficiency in one multiparadigm programming language (Python, Java, Go, Rust, etc.) #cjpost #LI-RD #LI-Onsite Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role. ● The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.