Machine Learning Engineer (TS/SCI)

Join Vantor Services Inc. in Herndon, VA (onsite) to build and deploy machine learning and computer vision capabilities for mission-focused problems. This role supports the end-to-end delivery of CV and ML pipeline components, including production data engineering and generative AI approaches for synthetic data generation using GEOINT data.

What you’ll do

• Design, develop, and deploy multiple CV pipeline components such as image preprocessing, distributed training, inference, and supporting data stores.
• Implement synthetic data generation capabilities using generative AI applied to commercial and government GEOINT data.
• Perform data engineering to transform different data types across stages of the AI/ML workflow.
• Stay current on computer vision advances from industry and academia and apply relevant techniques to customer mission needs.
• Brief internal Vantor teams on delivery progress, evaluation results, and project challenges.

Key requirements

• U.S. citizenship and an active TS/SCI clearance (with willingness to get a CI Polygraph).
• 5+ years of programming experience using at least one general-purpose language: Python, TypeScript, Java, or C/C++.
• 2+ years leading design or architecture (including design patterns, reliability, and scaling) for new and existing systems.
• 2+ years of relevant experience in machine learning engineering, data engineering, backend software engineering, or a closely related technical role.
• Hands-on experience training, fine-tuning, or adapting AI/ML models with a modern ML framework.
• Experience deploying machine learning models to production, including building batch or real-time inference pipelines and managing model versions.
• Hands-on experience building and operating services on a major cloud platform, including managed compute, databases, storage, and identity and access management.
• Experience using Kubernetes to orchestrate workflows for data or ML pipelines.
• Experience owning containers, container orchestration, CI/CD pipelines, and infrastructure-as-code.
• Proven ability to support production systems including debugging, observability, secure configuration, and incident response.
• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Machine Learning, or a related discipline, or equivalent demonstrated experience.

Preferred qualifications

• Hands-on experience with LLMs, AI agents, or agentic workflows.
• Experience working with satellite or aerial imagery, including raster formats like GeoTIFF, coordinate reference systems, and tools such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
• Experience developing computer vision models for object detection, semantic or instance segmentation, or change detection, ideally for overhead imagery.

Tools and technologies

Python, TypeScript, Java, C/C++, generative AI, modern ML frameworks, LLMs, AI agents, Kubernetes, CI/CD, infrastructure-as-code, cloud platform services (managed compute, databases, storage, and identity and access management).

Benefits

• Robust 401(k) with company match
• Mental health resources
• Student loan repayment assistance
• Adoption reimbursement
• Pet insurance

Security clearance requirement

This position requires an active U.S. Government Security Clearance at the TS/SCI level.

Compensation

USD 165,000 - 215,000 per year. Base pay for this position is $165,000.00 - $215,000.00 for California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and all other states.