SCI)

Vantor•Herndon, VA

1d•$180,000 - $214,000

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 geospatial intelligence solutions for complex government mission challenges, including solutions involving multi-INT data with an emphasis on RF. Applicants must be U.S. citizens and hold an active TS/SCI clearance; the position also requires the ability to obtain a CI polygraph. Employment in this cleared role is contingent upon verification of clearance status. The successful candidate will bring expertise in AI/ML engineering, geospatial and remote-sensing data, and multidisciplinary delivery. They will contribute technical subject-matter expertise, mentorship, and strategic advice to government and internal teams, and communicate progress, results, risks, and challenges to clients, partners, and project leadership. The position offers a base salary range of $180,000 to $214,000, with starting pay determined by job-related factors and work location.

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, emphasizing 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, along with 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 supporting client and backend AI/ML applications.

Responsibilities

Architect, develop, and integrate novel 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 leverage multi-INT data, with 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.