Machine Learning Engineer (TS/SCI)
Maxar Technologies6 days ago
Herndon, VA, USASenior
Base Salary
$165k - $215k/yr
Responsibilities
- Design, develop, and deploy computer vision pipeline components including image preprocessing, distributed training, inference engines, and data stores.
- Implement synthetic data generation using generative AI with commercial and government GEOINT data.
- Transform varied data types to support AI/ML workflow phases.
- Apply recent computer vision advances to customer mission problems.
- Brief internal teams on delivery progress, evaluation results, and project challenges.
- Deploy and operate machine learning models in batch or real-time production inference pipelines.
- Build and operate cloud services, Kubernetes workflows, containers, CI/CD pipelines, and infrastructure-as-code.
- Support production systems through debugging, observability, secure configuration, and incident response.
Requirements
- U.S. citizenship and an active TS/SCI clearance, with willingness to obtain a CI Polygraph.
- At least five years of programming experience with Python, TypeScript, Java, C, or C++.
- At least two years of experience leading the design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- At least two 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 or AI models with a modern ML framework.
- Experience deploying machine learning models into production and building batch or real-time inference pipelines with model version management.
- Experience operating services on a major cloud platform, including managed compute, databases, storage, and identity and access management.
- Experience building and operating Kubernetes-based workflow orchestration for data or ML pipelines.
- Experience with containers, container orchestration, CI/CD pipelines, and infrastructure-as-code.
- A bachelor’s degree in computer science, electrical engineering, computer engineering, machine learning, or a related discipline, or equivalent demonstrated experience.
- Preferred experience with LLMs, AI agents, or agentic workflows.
- Preferred experience with satellite or aerial imagery, GeoTIFF, coordinate reference systems, GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
- Preferred experience developing computer vision models for object detection, semantic or instance segmentation, or change detection.
Benefits
- Competitive total rewards package including a 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- The position is onsite, as indicated by the posting’s #LI-Onsite designation.
- The base salary range is $165,000.00–$215,000.00 depending on location, experience, qualifications, and market conditions.
- The application window is three days from the posting date and remains open until a qualified candidate is identified.
Tech Stack
Categories
About Maxar Technologies
Maxar Technologies builds and operates commercial Earth‑observation satellites and sells high‑resolution imagery, 3D products, and geospatial analytics to government, defense, and enterprise customers. Headquartered in Westminster, Colorado, the company was formed in 2017 from the merger of DigitalGlobe and MDA and was acquired by Advent International in 2023; it supplies data for national security, mapping, and disaster response, and licenses imagery through subscription and platform APIs.