🛠 Tech Stack

💼 About This Role

You'll join Planet's Software Engineering Team to build next-generation geospatial intelligence using embeddings, multi-modal architectures, and vision transformers. You'll design and deploy models that transform massive imagery and sensor data into actionable insights. This role offers the chance to work with EO, MSI, and SAR modalities in an AI-forward development flow.

🎯 What You'll Do

• Apply expertise in multi-modal architectures and vision transformers to process massive EO, MSI, SAR datasets.
• Own the complete lifecycle of models from data curation to deployment and continuous improvement.
• Handle complex technical challenges and align solutions with company goals.
• Guide future feature development toward high-impact, achievable milestones.

📋 Requirements

• Bachelor's degree in Computer Science, Applied Mathematics, or related field.
• 6+ years of relevant industry experience in machine learning or geospatial algorithm development.
• Advanced expertise in AI/ML including unsupervised and semi-supervised techniques.

✨ Nice to Have

• Proficiency in Big Data and AI/ML at scale.
• Experience with multi-modal data processing (EO, MSI, SAR) and Computer Vision.
• Full-stack capabilities including front-end GUI, database management, and Docker.

🎁 Benefits & Perks

• 🏥 Comprehensive Medical, Dental, and Vision plans with HSA company contribution
• 🏖️ Generous Paid Time Off plus holidays and company-wide days off
• 👶 16 Weeks of Paid Parental Leave
• 💻 Home Office Reimbursement and monthly Phone/Internet Reimbursement
• 📚 Tuition Reimbursement and LinkedIn Learning access

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Interview· 45 min