Applied Geospatial ML Engineer

Vantor; Herndon (VA); On-site; USD 185,000 - 228,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Job summary

Vantor, located in Herndon, Virginia, is seeking an AI/ML Engineer to develop and implement machine learning solutions across diverse data types. Candidates must be U.S. citizens with an active TS/SCI clearance. Responsibilities include contributions to AI/ML teams and architecting models to tackle real-world problems. The position offers a competitive base pay of $185,000.00 – $228,000.00 and unique benefits like student loan repayment assistance and pet insurance.

If you're passionate about solving mission-critical problems, Vantor encourages you to apply and be part of our dynamic team shaping the future of spatial intelligence.

Qualifications

• 5+ years of experience designing, developing, testing, and deploying AI/ML models.
• Experience working with remote sensing and geospatial datasets.
• Strong communication skills and attention to detail.

Responsibilities

• Contribute to multi-discipline AI/ML engineering teams.
• Architect, develop, and integrate novel AI/ML models.
• Communicate progress and results to clients.

Skills

AI/ML model development

Data acquisition

Pipeline evaluation

Geospatial analytics

Linux environments

Communication skills

Education

B.S. in Data Science or related field

Tools

Cloud platforms (e.g., AWS, Azure)

Python data science stack

Geospatial libraries (e.g., gdal, geopandas)

Job description

Overview

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. 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.

Eligibility

To be eligible for this position you must be a U.S. Citizen and hold an active TS/SCI 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).

Role Purpose

Do you have a head for numbers and enjoy being an integral part of solving mission‑critical, real‑world problems? You’ll love working with us! As an AI/ML Engineer you will 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 solutions.
• Engineer and transform diverse data types to support all phases of the AI/ML workflow.
• Architect, 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 stacks.
• Stay current on AI/ML advances from industry and academia, applying them to government mission challenges.
• Provide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategies.
• Communicate progress, results, risks, and challenges to government clients, partners, and project leadership.
• Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations.

Minimum 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 field.
• 5+ years designing, developing, testing, and deploying AI/ML models across diverse data types.
• Minimum 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/CD.
• Strong communication skills demonstrated through technical writing and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail.
• Competence with Linux environments.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, or related field.
• Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent.
• Experience designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches.
• Ability to design and implement compute hardware and infrastructure solutions to support both client and backend AI/ML applications.

Pay Transparency

The Base Pay for this position is $185,000.00 – $228,000.00. The starting pay will fall within the salary range provided and is determined based on job‑related factors, including experience, qualifications, knowledge, skills, geographic work location, and market conditions.

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 such as student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life.

EEO Policy

Vantor is an equal‑opportunity employer committed to an inclusive workplace. 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.