Staff machine learning engineer New York City

The role We’re looking for a seasoned machine learning engineer specializing in AI to join our team. You will be a technical leader in helping us build a world class AI tools for companies to measure and reduce their carbon emissions. You’ll leverage LLMs, embeddings, and other AI technologies to deliver features to our customers, and help lay the technical foundations for AI at Watershed. In this role you will: 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 You might be a good fit if you have: 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 Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. #J-18808-Ljbffr Open CEDA