Machine Learning Intern Engineering

At Unravel Carbon, we’re on a mission to accelerate the world’s transition to a zero-carbon economy. We’re a team of entrepreneurs, engineers, and climate experts who believe that data and AI are the keys to unlocking a sustainable future. Our AI-powered platform helps companies across the globe to measure, reduce, and report their carbon emissions with unprecedented accuracy and efficiency. We’re backed by top-tier investors like Sequoia and Y Combinator, and we’re growing fast.

Our culture is built on a foundation of intellectual honesty, extreme ownership, and a relentless focus on results. We’re a fun, collaborative, and purpose-driven team that isn’t afraid to tackle the world’s biggest challenges. If you’re ready to do the best work of your life and make a real impact, we want to hear from you.

We are looking for a Machine Learning Intern to join our growing ML team and contribute to our mission of fighting climate change through AI. This is an excellent opportunity to gain hands‑on experience with cutting‑edge GenAI and traditional ML techniques while working on meaningful sustainability problems.

As part of our Machine Learning team, you’ll work on real projects that directly impact our product. You’ll be mentored by experienced ML engineers and collaborate with cross‑functional teams including product managers, engineers, and sustainability experts. This internship offers exposure to both traditional ML systems and modern GenAI applications in a fast-growing climate tech startup.

• Contribute to building AI agents that help sustainability professionals automate emissions calculations, extract insights and generate reports
• Work on improving our carbon engine through data analysis, software development and transformer‑based model experimentation
• Assist in developing LLM‑powered workflows that process sustainability documents and extract key insights
• Support the implementation and testing of ML models in production environments
• Participate in research projects exploring new approaches to carbon accounting and decarbonization recommendations
• Help build evaluation frameworks for AI systems to ensure quality and reliability

• You are pursuing a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
• You are proficient in Python, SQL and familiar with ML libraries (transformers, langchain, pandas, numpy)
• You have academic or project experience with machine learning concepts and are curious about GenAI/LLMs
• You are eager to learn about production ML systems and modern AI techniques
• You can work independently on well‑defined tasks while knowing when to ask for help
• You enjoy collaborative work and are excited about applying AI to solve climate challenges
• You have strong communication skills and can explain technical concepts clearly
• You are detail‑oriented and committed to writing clean, maintainable code

• You have experience building AI agents and LLM‑based workflows through coursework or personal projects
• You have previously worked on evaluating LLM‑based systems or model performance
• You have worked with cloud platforms (AWS preferred) or have a strong Git Hub portfolio
• You have domain knowledge or interest in sustainability, environmental science, or climate tech

• Hands‑on experience with production ML systems and GenAI applications
• Mentorship from experienced ML engineers and exposure to startup culture
• Understanding of how AI can be applied to solve critical environmental challenges
• Opportunity to contribute to meaningful projects with real business impact

Interested in this job? Let the hiring team at Unravel Carbon contact you!