Senior Geospatial AI/ML Engineer

Planet

Senior Geospatial AI/ML Engineer at Planet building geospatial intelligence capabilities. Designing and deploying machine learning models using advanced geospatial techniques.

Posted 5/8/2026full-timeDenver • Colorado • 🇺🇸 United StatesSenior💰 $142,800 - $178,500 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

multi-modal architectureslarge language models (LLMs)vision transformersdata curationmodel analysismodel deploymentmachine learning (ML)artificial intelligence (AI)unsupervised techniquessemi-supervised techniques

Soft Skills

problem-solvingtechnical challenge resolutionguidancefeature developmentalignment with company goals