Machine Learning Engineer
Core
Build AI agents and LLM-powered systems to automate carbon emissions calculations, process sustainability data, and recommend decarbonization solutions.
Role type
Early-career Machine Learning Engineer (Generative AI)
Builds
AI agents for sustainability professionals, scalable ML services on AWS, and multi-ML model carbon engines
Domain
Climate tech / Sustainability AI
Deliverable
production ML models
Required skills
Python, SQL, LLMs, prompt engineering, RAG systems, transformer-based models, system design, AI-based coding tools
Preferred skills
LLM evaluation, guardrails, agent frameworks, vector databases, embedding systems, sustainability domain knowledge
Technologies
AWS, transformers, LangChain, ModernBERT, T5
Responsibilities
Build agentic workflows combining language models with structured data processing; implement evaluation frameworks for LLM-based systems; design scalable ML services serving traditional and LLM-based systems; lead efforts to build AI-powered systems for decarbonization recommendations
Seniority
Early-career, hands-on IC