AI for Earth: Machine Learning Intern → Full-Time Pathway

Core responsibilities:

• Building NLP models for automated report generation in multiple languages
• Creating computer vision for biodiversity impact detection from photos
• Developing recommendation engines suggesting nature-positive actions by sector
• Implementing explainable AI ensuring transparency for non-technical users

Your work will help small businesses worldwide understand and protect the nature they depend on, transforming ecological data into actionable insights that foster business decisions protecting biodiversity.

Required skills and qualifications:

• Interest in AI applications for environmental monitoring and biodiversity protection
• Willingness to learn TensorFlow Lite/Core ML for mobile deployment
• Openness to working with multilingual NLP and computer vision models
• Desire to create AI solutions that work for businesses typically ignored by Silicon Valley

Benefits include:

• Mentorship from top professionals from NUS, Columbia, Oxford, and MIT in conservation, policy, and data science
• Flexible internship arrangements (remote and part-time)
• Pathway to full-time conversion after 3-month internship
• Opportunity to test solutions with real businesses facing real challenges

Solom champions a future where businesses and ecosystems thrive together, empowering organizations to monitor and understand their nature dependencies and address broader ecological impacts of operations beyond just carbon emissions.