Machine Learning Intern

MACHINE LEARNING INTERN

at Unravel Carbon

About Unravel Carbon

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.

About The Role

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.

What You Will Work On

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

About You

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 building agentic applications

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

BONUS POINTS IF

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 GitHub portfolio

You have domain knowledge or interest in sustainability, environmental science, or climate tech

WHAT YOU'll GAIN

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