ML Engineer (TS/SCI) - Geospatial CV & AI Pipelines

MAXAR TECHNOLOGIES, INC.; Herndon (VA); In loco; USD 165.000 - 215.000; Tempo pieno

Vantaggi offerti da questo lavoro

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Descrizione del lavoro

Vantor is seeking a skilled engineer to design, develop, and deploy computer vision pipeline components for geospatial intelligence workflows. You will implement synthetic data generation using generative AI and transform diverse data types to support ML/AI pipelines in production environments.

Join a mission-driven team applying cutting-edge CV techniques, staying ahead of industry advances, and collaborating with internal stakeholders to deliver robust, scalable solutions for national security

Competenze

• US citizenship and TS/SCI clearance with CI Polygraph willingness.
• 5+ years of programming with Python, Typescript, Java, or C/C++.
• 2+ years leading design/architecture of systems.
• 2+ years in ML engineering, data engineering, or related backend roles.
• Experience deploying ML models to production and building CI/CD pipelines.

Mansioni

• Design, develop, and deploy multiple CV pipeline components (e.g., image preprocessing, distributed training, inferencing engine, data store).
• Implement synthetic data generation using generative AI for GEOINT data.
• Transform various data types to support ML/AI workflow phases.
• Stay updated on CV advances and apply them to customer mission problems.
• Brief internal Vantor teams on delivery progress, evaluation results and challenges.

Conoscenze

Python

Typescript

Java

C/C++

ML Engineering

Cloud platforms

Kubernetes

CI/CD

Observability

Formazione

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

Strumenti

GDAL

Rasterio

Shapely

Fiona

GeoPandas

Descrizione del lavoro

Vantor is seeking a skilled engineer to design, develop, and deploy computer vision pipeline components for geospatial intelligence workflows. You will implement synthetic data generation using generative AI and transform diverse data types to support ML/AI pipelines in production environments.

Join a mission-driven team applying cutting-edge CV techniques, staying ahead of industry advances, and collaborating with internal stakeholders to deliver robust, scalable solutions for national security