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  3. Senior Geospatial AI ML Engineer
Planet logo

Senior Geospatial AI ML Engineer

Planet
Location not specified
Full Time
Posted May 8, 2026
$143k - $203k
Not Specified
~73 people viewed this recently
Apply Now

Application opens on company website

Job Description

The role involves developing advanced geospatial machine learning models to analyze satellite imagery and sensor data, transforming large datasets into actionable global intelligence. The position requires expertise in AI, remote sensing, and multi-modal data processing within a collaborative, innovative environment.

Key Responsibilities

  • Develop and deploy advanced machine learning models using geospatial data from EO, MSI, and SAR sensors.
  • Manage the entire lifecycle of models, including data curation, analysis, deployment, and continuous improvement.
  • Handle complex technical challenges related to multi-modal data processing and geospatial intelligence.

Requirements

  • 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 and semi-supervised techniques, and strong mathematical foundations.
  • Proficiency in Big Data and AI/ML at scale.
  • Experience with multi-modal data processing including Electro-Optical (EO), Multi-Spectral Imaging (MSI), and Synthetic Aperture Radar (SAR).
  • Full-stack capabilities, including front-end GUI development, database management, and containerization with Docker.
  • Ability to operate with a high degree of autonomy and require minimal day-to-day oversight.

Benefits & 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
Discretionary short-term and long-term incentives bonus and equity
Salary Range (varies by location): 153,000 - 191,300 USD (NYC), 162,600 - 203,200 USD (San Francisco), 142,800 - 178,500 USD (US National)

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