Apply advanced expertise in multi-modal architectures, LLMs, and vision transformers to process massive datasets from EO, MSI, and SAR sensors.
Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement.
Handle and solve complex, ambiguous technical challenges, aligning your solutions with the company's larger goals.
Use your deep domain expertise to guide future feature development toward high-impact, achievable technical milestones.

Requirements

10+ years of relevant industry experience in machine learning, data science, or geospatial algorithm development.
Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field.
Ability to obtain and maintain TS-SCI or TS security clearance.
Deep expertise in Artificial Intelligence (AI) and Machine Learning (ML), including advanced algorithms, unsupervised/semi-supervised techniques, and strong mathematical foundations.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

multi-modal architecturesLLMsvision transformersdata curationmodel analysisdeploymentcontinuous improvementArtificial IntelligenceMachine Learningadvanced algorithms

Soft Skills

problem-solvingtechnical challenge resolutionguidancefeature development

Certifications

TS-SCI security clearance