Senior ML Engineer (TS/SCI) — Geospatial CV Pipelines

Vantor (Maxar Intelligence)

Herndon (VA)

On-site

USD 165,000 - 215,000

Full time

3 days ago
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Benefits offered by this job

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

Job summary

Vantor seeks an experienced engineer to design and deploy CV pipeline components and ML workflows for geospatial intelligence applications. You will implement synthetic data generation, data engineering for ML pipelines, and stay current with CV advances to solve mission-critical problems.

The role involves deploying ML models to production, building batch or real-time inference pipelines, and working across cloud environments with containerized services. A TS/SCI clearance is required.

Qualifications

  • US citizenship with TS/SCI clearance (CI polygraph preferred)
  • 5+ years programming experience in Python, Typescript, Java, or C/C++
  • 2+ years leading design or architecture of systems
  • 2+ years in ML engineering, data engineering, backend software engineering, or related
  • Hands-on experience training, fine-tuning, or adapting ML/AI models with modern ML frameworks
  • Experience deploying ML models to production with batch or real-time inference
  • Hands-on experience building/operating services on a major cloud platform
  • Experience with Kubernetes for data/ML pipelines
  • Experience owning containers, CI/CD pipelines, and IaC
  • Bachelor's degree in relevant field or equivalent experience

Responsibilities

  • Design, develop, and deploy CV pipeline components
  • Implement synthetic data generation using generative AI for GEOINT data
  • Data engineering to transform data for ML workflow
  • Stay updated on CV advances and apply to mission problems
  • Brief internal teams on delivery progress, results, and challenges

Skills

Programming experience (5+ yrs)
Architecture & design leadership
Machine learning engineering
ML model deployment
Cloud platforms
Kubernetes
CI/CD / IaC
Observability & debugging

Education

Bachelor's degree in CS/EE/CE or ML or related

Tools

Kubernetes
CI/CD pipelines
Containerization

Job description

Vantor seeks an experienced engineer to design and deploy CV pipeline components and ML workflows for geospatial intelligence applications. You will implement synthetic data generation, data engineering for ML pipelines, and stay current with CV advances to solve mission-critical problems.

The role involves deploying ML models to production, building batch or real-time inference pipelines, and working across cloud environments with containerized services. A TS/SCI clearance is required.

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