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26 people are interested
Machine Learning Engineer
ORGANIZATION: GREENSTAND
Please visit the new page to apply.
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26 people are interested

Machine Learning Engineer
Commitment:
24-months
Role Overview:
This role is responsible for deploying, maintaining, and optimizing machine learning models for Greenstand’s image analysis processes. The Machine Learning Engineer will work on automating tree species identification, disease detection, image quality analysis, and tree growth tracking. A key focus will be on integrating models into production, improving workflow automation, and ensuring scalability and efficiency.
Compensation:
Volunteer, until otherwise funded
Reports to:
Machine Learning Lead
Collaborates with:
Contributors, System users, Governmental agencies
Leads
Machine Learning
AREAS of RESPONSIBILITY
Deploy and optimize machine learning models, ensuring integration into Greenstand’s production environment.
Improve and maintain Greenstand’s Airflow pipeline for automated species tagging and image processing.
Develop and test new models for duplicate image detection, tree growth tracking, and disease identification.
Work with backend developers to optimize API endpoints and database interactions.
Ensure model scalability, accuracy, and efficiency while minimizing resource consumption.
Maintain proper version control of ML models and notebooks using GitHub.
Document processes, workflows, and best practices for future contributors.
Troubleshoot model performance issues and implement improvements.
Collaborate with stakeholders to align technical developments with Greenstand’s mission.
Participate in team discussions and report progress via Slack and project tracking tools.
QUALIFICATIONS/EXPERIENCE/KNOWLEDGE:
Strong experience in machine learning model deployment and optimization.
Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
Experience with Apache Airflow or similar workflow orchestration tools.
Knowledge of cloud platforms (AWS, GCP, or Azure) for model hosting.
Familiarity with containerization and CI/CD tools (Docker, Kubernetes, GitHub Actions).
Strong problem-solving and debugging skills.
Ability to work independently and collaborate asynchronously with others.
Understanding of computer vision techniques and geospatial data processing is a plus.
Thank you for your interest in volunteering with Greenstand and for expressing your willingness to contribute as a product designer. We truly appreciate your enthusiasm for our cause and your desire to make a difference.As a volunteer, you'll have the opportunity to work closely with our team, gain valuable experience, and make a positive impact on the environment.
Next Steps...
Step 1: Complete Our Volunteer Registration Form: Tell us about your skills, goals, and volunteer expectations. - https://docs.google.com/forms/d/e/1FAIpQLSeEmwekGZ5tcc5sVhsgMDf-KEDBMtZYoCYAmxyxrOPv5w0WKA/viewform
Step 2: Join Greenstand Slack: Introduce yourself in the #community-intros channel and indicate the specific role you are interested in. We can’t wait to meet you! - https://join.slack.com/t/greenstand/shared_invite/zt-2ybd2u95j-WMHOPSSFd6_tjw034Wl5xQ
Step 3: Schedule Your Orientation: Wait for a Volunteer Onboarding Coordinator who will help you get involved in the community!We look forward to making the world a greener place with you!
Sincerely,
The Greenstand Team
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About GREENSTAND
Location:
721 Depot Drive, ANCHORAGE, AK 99501, US
Mission Statement
Greenstand is a U.S.-based 501(c)(3) nonprofit organization developing open-source technology to address climate change and alleviate poverty through digitizing environmental goods and services. We are made up of about 505 contributors across the globe. Our Treetracker app verifies and tracks individual trees, thus creating transparency in the reforestation sphere. Organizations and donors can locate individual trees and trade their ecological impact. By facilitating ownership of trees and their ecological services, Greenstand allows for tree-growing organizations to stay accountable.
Description
Greenstand develops mobile technology for better forestation techniques. Through our Treetracker app, rural smallholder farmers in some of the most remote communities on the planet are able to earn a sustainable income by planting, caring for, and tracking trees. Each tree grower takes a geotagged photo of their tree and uploads it to the Treetracker’s verification system, where Greenstanders verify that each photographed tree is alive and growing. Verified trees are digitized as Impact Tokens, which can be traded or sold among other Impact Wallet users within the Treetracker app.
Nasiyan was one of our first Treetracker. A single mother living with extreme visual and hearing impairments, she could barely afford to keep food on the table for herself and her three sons. However, since she began growing and tracking trees with Greenstand, her life has been looking up. Her young forest has become a small biodiversity hotspot, and with the income she has earned from tracking trees, she can now afford to send her boys to school.
Are you interested in helping us fight climate change and extreme poverty? We’re interested in you! Please check out our open opportunities or shoot us an email at info@greenstand.org. We can’t wait to hear from you!
CAUSE AREAS
WHEN
WHERE
This is a Virtual Opportunity with no fixed address.
DATE POSTED
February 3, 2025
SKILLS
- Software Development
- Python
GOOD FOR
- People 55+
REQUIREMENTS
N/A