Senior Geospatial AI/ML Engineer

Planet Labs
Denver, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 191K

Job location

Remote
Denver, United States of America

Tech stack

Artificial Intelligence
Algorithm Design
Computer Vision
Big Data
Computer Programming
Geospatial Intelligence
Graphical User Interface
Machine Learning
Scientific Computating
Software Engineering
Data Processing
Large Language Models
Containerization
Information Technology
Docker

Job description

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, hybrid role which will require you to work from our new Denver, CO OR San Francisco, CA office 3 days per week.

Impact You'll Own:

  • 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

  • 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.

What Makes You Stand Out:

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

Benefits & conditions

Planet Labs PBC parental leave, paid time off, tuition reimbursement United States, Colorado, Denver May 22, 2026, These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

  • 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, The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. New York City + California Salary Range $153,000 - $191,300 USD San Francisco Salary Range $162,600 - $203,200 USD US National Salary Range $142,800 - $178,500 USD

San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the company

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

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