SCI)

Vantor•Herndon, VA

3d•$180,000 - $214,000•Onsite

About The Position

Vantor is 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. The role develops innovative solutions that integrate bespoke capabilities and tools to address complex government mission challenges, with an emphasis on geospatial intelligence (GEOINT), multi-INT data, and RF data. This position requires U.S. citizenship and an active U.S. Government TS/SCI security clearance, with the ability to obtain a CI polygraph. Employment in cleared roles is contingent on verification of clearance status. Certain roles may also be subject to U.S. export control laws requiring U.S. person status. The base salary range is $180,000–$214,000. Starting pay depends on job-related factors such as experience, qualifications, skills, geographic work location, and market conditions. The application window is three days from posting and remains open until a qualified candidate is identified.

Requirements

U.S. citizenship and an active TS/SCI clearance; ability to obtain a CI polygraph.
Bachelor’s degree in Statistics, Math, Data Science, Computer Science, Engineering, Physics, or a related field.
At least 5 years of experience designing, developing, testing, and deploying AI/ML models, with emphasis on solutions across diverse data modalities.
At least 2 years of experience with time series analysis, spatial trajectory analytics, and/or state estimation.
Strong experience with at least one general-purpose programming language: Python, Typescript, Java, C, or C++.
Proficiency with the Python data science and AI/ML stack (such as PyTorch, TensorFlow, NumPy, pandas, matplotlib, or scikit-learn) and geospatial libraries (such as GDAL, GeoPandas, or Shapely), or equivalent.
Experience with remote sensing and geospatial datasets, including sensor-based data streams and EO/SAR imagery, 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, such as briefings or conference presentations; excellent organizational skills and attention to detail.

Nice To Haves

Advanced degree in Statistics, Math, Computer Science, Data Science, Engineering, Physics, or a related field.
Experience working with cloud-based platforms such as AWS or Azure.
Experience applying multimodal models and agentic workflows to spatio-temporal data and overhead imagery.
Experience designing and implementing a wide variety of geospatial trajectory processing, analysis (such as forecasting), and visualization approaches.
Ability to design and implement compute hardware and infrastructure solutions for client and backend AI/ML applications.

Responsibilities

Architect, develop, and integrate data science and AI/ML solutions, including spatio-temporal machine learning, data fusion, and semantic enrichment.
Contribute to multidisciplinary AI/ML engineering teams designing, implementing, and evaluating machine learning solutions that use multi-INT data, with an emphasis on RF.
Engineer and transform diverse data modalities to support all phases of the AI/ML workflow.
Design, implement, and assess geospatial AI/ML solutions across hardware and software stacks.
Stay current on AI/ML advancements from industry and academia and apply them to government mission challenges.
Support program execution by providing subject matter expertise, mentorship, 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.