Senior Geospatial AI/ML Engineer

Planet

2d•Remote

About The Position

Join Planet’s Software Engineering Team as a Senior Geospatial AI/ML Engineer and help us build the next generation of geospatial intelligence. In this role, you will develop cutting-edge capabilities using geospatial embeddings, advanced multi-modal architectures, unsupervised and semi-supervised techniques, and vision transformers. 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. The ideal candidate exudes an enthusiasm for working in an AI forward development flow. You naturally integrate AI-assisted tools into your workflow to drive your own productivity and enjoy being part of a team that treats AI as a core collaborator in the development lifecycle. The ideal candidate expresses great passion for machine learning, programming, remote sensing, and large-scale scientific computing. This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week.

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.

Nice To Haves

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.
Expertise that can extend support beyond the Defense and Intelligence (D&I) sectors, aligning with Planet's strategic mission expansion.
Ability to operate with a high degree of autonomy and require minimal day-to-day oversight.
Ability to collaborate effectively across multidisciplinary teams.

Responsibilities

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.