Description:

Lead the design, scaling, deployment, and automation of computer vision and machine learning architectures for space-based intelligence.
Bridge remote sensing research with production-ready software to extract actionable intelligence from satellite imagery.

Requirements:

12+ years of software engineering experience, with 4+ years in computer vision or machine learning for geospatial imagery.
Bachelor’s degree in a relevant field or equivalent experience; expert in Python and deep learning frameworks like PyTorch.
Proven experience with production-grade computer vision models and remote sensing imagery challenges.
Hands-on experience with geospatial data pipelines and ML workloads in AWS.
Strong communication skills and ability to provide technical leadership.
Must be a U.S. citizen due to government regulations.

Comprehensive health insurance with 100% employee premium coverage for medical, dental, and vision.
15 days PTO, 11 holidays, and additional leave options.
401(k) with employer match, Flexible Spending Accounts, and Employee Stock Purchase Program.
Professional development opportunities and choice of Mac or PC.

Skills

Benefits