Machine Learning Engineer (TS/SCI)

Vantor Services Inc. is seeking a Machine Learning Engineer to help design and deploy computer vision and machine learning systems for GEOINT-focused missions. The role is onsite in Herndon, VA and requires an active U.S. Government TS/SCI clearance.

This position centers on building CV/ML pipeline components, enabling synthetic data generation using generative AI for GEOINT data, and supporting production machine learning and data engineering.

Role Summary

• Design, develop, and deploy multiple computer vision (CV) pipeline components
• Implement synthetic data generation using generative AI for commercial and government GEOINT data
• Provide production ML and data engineering capabilities across the AI/ML workflow

Responsibilities

• Design, develop, and deploy multiple CV pipeline components, including items such as image preprocessing, distributed training, inferencing engine, and data store
• Implement synthetic data generation capabilities using generative AI applied to commercial and government GEOINT data
• Perform data engineering to transform various data types to support phases of the AI/ML workflow
• Stay current on CV technical advances from industry and academia, and apply them to customer mission problems
• Brief internal Vantor teams on delivery progress, evaluation results, and project challenges

Required Qualifications

• 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 programming language: Python, Typescript, Java, or C/C++
• 2+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling
• 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 machine learning and AI models using a modern ML framework
• Experience deploying machine learning models into 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 building and operating workflow orchestration using Kubernetes 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

Technologies

• Python, Typescript, Java, C/C++, generative AI
• Modern ML framework, Kubernetes, CI/CD, infrastructure-as-code
• Cloud platform components including managed compute, databases, storage, identity and access management
• LLMs, AI agents

Preferred Qualifications

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

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 transparency: $165,000.00 - $215,000.00 (including California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and all other states)

Benefits

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