Applied Geospatial ML Engineer
$185k - $228kMaxar Technologies
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.Do you have a head for numbers and enjoy being an integral part of solving mission-critical, real-world problems? Do you like working with geospatial intelligence (GEOINT) data? If so, you’ll love working with us! Our solutions require innovative approaches that integrate bespoke capabilities and tools to solve our customers most complex challenges. We’re seeking an experienced AI/ML engineer to work across the full analytical workflow—from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation.Responsibilities:Contribute to multi-discipline AI/ML engineering teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutionsEngineer and transform diverse data types to support all phases of the AI/ML workflowArchitect, develop, and integrate novel AI/ML models (e.g., semantic activity detection, geospatial analytics, signal processing, and computer vision)Design, implement, and assess various geospatial AI/ML solutions across hardware and software stacksStay current on AI/ML advances from industry and academia, applying them to government mission challengesProvide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategiesCommunicate progress, results, risks, and challenges to government clients, partners, and project leadershipSupport program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrationsMinimum Qualifications: Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph.B.S. in Data Science, Engineering, Math, Physics, Computer Science, or related field5+ years designing, developing, testing, and deploying AI/ML models across diverse data typesMinimum 2 years of experience with low-shot learning, robust ML, spatial trajectory analytics, and cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio)Experience working with remote sensing and geospatial datasets, including EO/SAR imagery, sensor-based data streams and familiarity with government collection platforms.Experience with modern development practices, including version control, and CI/CDStrong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detailCompetence with Linux environmentsPreferred Qualifications: Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, or a related fieldProficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalentExperience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approachesAbility to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applicationsPay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:$185,000.00 - $228,000.00Benefits: 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: 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.SummaryLocation: Herndon, VAType: Full time
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- ...required Polygraph.Build Mission-Critical Geospatial Data and Analytics CapabilitiesThis role... ...office and mission stakeholders.Apply sound cartographic design, symbology, labeling... ...Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.12+...Full timeWork at office
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- ...visualizations. ~Demonstrated experience implementing, using, or creating ML/AI software, tools, and services. ~Demonstrated experience... ...~ bonuses ~ professional development, and more. Ready to make an impact? Explore our open positions and apply today....Full timeWork at officeLocal area
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The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading the development of complex AI/ML systems... ...for retrieval, indexing, and multimodal document understanding.Apply validation, safety, and explainability practices in support of...Full timeWork experience placementWork at office$212k - $248k
As Sr. AI/ML Engineer III, you’ll support a large data project alongside an agile team of developers, data engineers, supporting a highly... ..., operationalize and maintain AI/ML models in productionYou'll apply machine learning techniques to data sets related to immigrationYou...Full timeLocal area- A leading engineering firm is seeking a Geospatial Data Scientist Intern for a summer internship in Herndon, VA. The intern will analyze large datasets, assist with data processing automation, and conduct statistical modeling for various environmental projects. Candidates...Summer workInternshipSummer internship
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- ...ML Engineer | McLean, Virginia, United States Senior Machine Learning Engineer - McLean, VA (Hybrid, 12+ Month Contract) About the Role Join... ...- Competitive compensation on a long-term contract How to Apply If you're passionate about building and scaling production ML systems...Long term contractContract work
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...: 12/31/2026 The Opportunity: * Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). * Join a collaborative... ...skills alongside senior data scientists, engineers, and mission stakeholders....Full timeContract workWork experience placementFlexible hours$90k - $200k
....Job DescriptionCapTech Machine Learning Engineers are responsible for designing and implementing... ..., risk scoring).Productionizing ML systems with a focus on optimization and... ...industry business requirements.Experience applying analytical methods across multiple business...Work at officeRemote workVisa sponsorshipWork visaFlexible hours- ...AI/ML Engineer Location: Remote Work Authorization: Must be able to work without... ...analytics, and pattern recognition. Apply graph analytics, network analysis, and link... ...cloud environments. Familiarity with geospatial analytics, temporal analytics,...Local areaRemote work
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...AI/ML Engineer AI/ML Engineer Springfield, VA or Herndon, VA Active TS (SCI eligibility) clearance and CI poly At Bcore, our strength... ...on multi-team, cross-disciplinary projects Experience applying quantitative analysis to solve business problems and making data...- ...AI/ML Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship... ...Vision Engineer, AI Research Scientist, Robotics Engineer, Applied Machine Learning Engineer, AI Specialist, etc. DEGREE (...Temporary workFor contractorsImmediate startFlexible hours
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...End: 9/1/2026The Opportunity:Apply advanced analytics and machine... ...problems for the National Geospatial-Intelligence Agency (NGA). Work... ...science, analytics, or related engineering experience. Expert... ...Familiarity with cloud-based ML services and containerized model...Contract workWork experience placementFlexible hours$135.6k - $154.8k
Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be... ...the opportunity to continuously learn and apply the latest innovations and best practices... ...role, you'll be expected to perform many ML engineering activities, including one or more...Full timePart timeInternshipH1bLocal area$100k - $195k
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