Staff machine learning engineer
Technical leader building AI tools using LLMs and embeddings to help companies measure and reduce carbon emissions. Requires 8+ years in ML/AI engineering, full lifecycle experience, and strong full-stack skills.
Responsibilities
- Prototype, develop and iterate on new product areas for Watershed, giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions
- Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
- Collaborate with product and other AI engineering teams to set product and technical strategy
- Build evals, fine tune, create agent harnesses to build reliable AI powered systems
- Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed
- Write performant, well-crafted, tested, and maintainable code across our technical stack
Requirements
- 8+ years of experience in Machine Learning / AI engineering
- Experience building products using LLMs, embeddings and other ML technologies
- Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies
- Experience leading cross functional teams in an innovative fast moving environment
- A strong foundational understanding of machine learning models and practice, including model evaluation and performance
- Strong full-stack development skills
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