Senior Geospatial AI/ML Engineer

About the Role: Join Planet's Software Engineering Team as a Senior Geospatial AI/ML Engineer to help build the next generation of geospatial intelligence. You will design, develop, and deploy sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity. Your work will heavily leverage Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) modalities.

What You'll Do

• 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 deep domain expertise to guide future feature development toward high-impact, achievable technical milestones.

What You Bring

• 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 (Master's or PhD preferred).
• 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.
• Bonus: Ability to balance innovative technological approaches with strong coding talent, and expertise that extends support beyond the Defense and Intelligence (D&I) sectors.

Benefits

• Salary Range: $160,600 - $228,600 USD / year (varies by specific location and experience), plus potential bonus and equity.
• Comprehensive Medical, Dental, and Vision plans with an HSA.
• Generous Paid Time Off, 16 Weeks of Paid Parental Leave, and Volunteering PTO.
• Home Office Reimbursement, Monthly Phone/Internet Reimbursement, and Tuition Reimbursement.
• Fully remote work flexibility within the United States.