Staff machine learning engineer

Watershed Technology • New York City, NY

85d

About The Position

Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. 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.

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

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

What This Job Offers

• Industry: Publishing Industries
• Number of Employees: 251-500 employees