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This position was posted on April 14, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
United States, Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
April 14, 2026
Full Job Description
📋 Description
- • Join Planet’s Software Engineering Team as a Senior Geospatial AI/ML Engineer to build the next generation of geospatial intelligence by developing cutting-edge capabilities using geospatial embeddings, advanced multi-modal architectures, unsupervised and semi-supervised techniques, and vision transformers.
- • Design, develop, and deploy sophisticated machine-learning models that transform massive imagery and sensor data archives into high-fidelity, actionable intelligence about global activity, leveraging Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR) modalities.
- • Own the complete lifecycle of new models, from data curation and rigorous model analysis to deployment, stability, and continuous improvement, while solving complex, ambiguous technical challenges aligned with company goals.
- • Collaborate across multidisciplinary teams with a high degree of autonomy, integrating AI-assisted tools into your workflow to drive productivity and treat AI as a core collaborator in the development lifecycle.
- • Planet designs, builds, and operates the largest constellation of imaging satellites in history, delivering an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors, combining space and data expertise in a people-centric, globally distributed team.
- • This role offers the opportunity to apply deep expertise in machine learning, programming, remote sensing, and large-scale scientific computing to solve world’s toughest obstacles while contributing to Planet’s mission of changing how people see the world through humanitarian and technological innovation.
🎯 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.
- • Advanced degree (Master’s or PhD) in Computer Science, Applied Mathematics, Physics, or a related field.
- • Ability to balance innovative and creative technological approaches with strong coding talent.
🏖️ Benefits
- • Comprehensive Medical, Dental, and Vision plans
- • Health Savings Account (HSA) with a company contribution
- • Generous Paid Time Off in addition to holidays and company-wide days off
- • 16 Weeks of Paid Parental Leave
- • Wellness Program and Employee Assistance Program (EAP)
- • Home Office Reimbursement
- • Monthly Phone and Internet Reimbursement
- • Tuition Reimbursement and access to LinkedIn Learning
- • Equity
- • Commuter Benefits (if local to an office)
- • Volunteering Paid Time Off
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Planet Labs PBC
Planet Labs operates the world’s largest constellation of Earth-imaging satellites, delivering daily 3–5 m resolution imagery and high-resolution 50 cm tasking. Founded in 2010, the public benefit corporation serves agriculture, government, finance, and sustainability markets via a cloud-native platform that enables rapid analytics and change detection across the globe.
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