Machine Learning Engineer Engineering Kuala Lumpur, Malaysia

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 Sustainability AI agents 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 an early-career ML Engineer with a focus on Generative AI to join our early, growing team. It is a great opportunity to join a company that can have a material impact on fighting climate change.

As the Machine Learning team, we strive to design and build AI products and systems that are reliable, scalable, and maintainable. Some of the traits that we promote within the team are ownership, curiosity, transparency, and a strong writing culture. As an early team member, you will be expected to help shape our product direction and to strengthen the team’s culture. You will collaborate closely with product managers, software engineers, designers, data engineers, and sustainability experts to ship products that create value and solve problems for our customers.

WHAT YOU WILL WORK ON

• Build AI agents for sustainability professionals that automate emissions calculations, extract insights from emissions inventory, generate sustainability reports, and streamline other key sustainability workflows.
• Develop LLM-powered systems that process and understand sustainability data from various sources like invoices, utility bills, and supply chain documents.
• Build agentic workflows that combine language models with structured data processing and domain-specific reasoning capabilities.
• Continuously improve our multi-ML model (semantic search and text classification) carbon engine that calculates carbon emissions, using millions of lines of transactional data and our proprietary data set of carbon emission factors.
• Design and build scalable, modular ML services on AWS infrastructure that serve both traditional ML models (transformer-based models like ModernBERT, T5) and LLM-based systems in production.
• Implement evaluation frameworks and quality controls for LLM-based systems to ensure reliable performance in production.
• Lead our efforts to build AI-powered systems that leverage our various data sets to automatically identify and recommend decarbonization solutions for our customers.

ABOUT YOU

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