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.
