Senior Geospatial AI/ML Engineer, Planet
$142.8-203.2k
Salary varies depending on location. Offers equity
3 days a week in office
Satellite imagery & earth data analytics
Open for applications
Satellite imagery & earth data analytics
1001+ employees
Open for applications
$142.8-203.2k
Salary varies depending on location. Offers equity
3 days a week in office
1001+ employees
Company mission
To image all of Earth’s landmass every day, and make global change visible, accessible and actionable.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Application process
- Application Deadline: June 30th, 2026 at 11:59p PT
Our take
Planet’s high resolution, high frequency Earth-imaging satellites make daily changes in the earth more visible, allowing the company to provide quick turnaround geo-spatial data to its customers. The company was founded by a group of former NASA employees driven by a desire to make global change more actionable by rendering it more visible.
Planet operates the largest Earth-imaging satellite network available, putting it ahead of any competitors. Its landmass data is easy to access, requiring only a subscription from its members - who range from ecological organizations, to private companies and government bodies. The company is also supporting SES and Telesat on their space relay projects for NASA.
The current focus of Planet seems to be on employing its network towards climate and environmental issues. A partnership with Accenture comes with the goal of developing AI-powered geospatial intelligence tools to support sustainability projects; and the company's acquisition of Salo Sciences will allow it to develop offerings around enabling customers to quantify carbon stocks, monitor forest change, and mitigate climate risks.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
29% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2019
$184m
SERIES D
Apr 2015
$93m
SERIES C
Total funding: $342.1m
Company benefits
- Comprehensive health plan
- Wellness program and massages
- Flexible time off
- Recognition programs
- Commuter benefits
- Learning and tuition reimbursement
- Parental leave
- Offsites and happy hours
- Volunteering benefits
Company HQ
South Beach, San Francisco, CA
Leadership
Will Marshall
(Co-Founder & CEO)After a Ph.D. at UCSB and Postdoc at Harvard, they worked for almost 6 years as a NASA Scientist. They left in January 2012 to co-found Planet the following month.
Robbie Schingler
(Co-Founder & CSO)They took an MBA at Georgetown University before spending over 5 years at NASA. They left their Chief of Staff role in October 2011 to co-found Planet with Will.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 28 more jobs at Planet