Watershed
Overview
Watershed is the enterprise sustainability platform, helping companies manage climate and ESG data 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 have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! 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 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. 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 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 Must be willing to work from an office 4 days per week
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 Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Some roles are open to remote work and will be noted on the jobs page. What’s the interview process like?
The process typically starts with 1 to 2 conversations to get to know the team, followed by role-appropriate assessments and an interview panel. We prioritize transparency and lack of surprise throughout the process. We can accommodate interviews for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter. Accommodations
We are committed to an inclusive recruitment process and provide reasonable accommodations as needed. Contact your recruiter for assistance during the process. Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Climate Data and Analytics and Software Development Note: This description focuses on the role responsibilities and qualifications; other postings and salary snippets shown in the original listing have been omitted to keep this description concise and relevant.
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Watershed is the enterprise sustainability platform, helping companies manage climate and ESG data 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 have offices in San Francisco, New York, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! 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 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. 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 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 Must be willing to work from an office 4 days per week
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 Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Some roles are open to remote work and will be noted on the jobs page. What’s the interview process like?
The process typically starts with 1 to 2 conversations to get to know the team, followed by role-appropriate assessments and an interview panel. We prioritize transparency and lack of surprise throughout the process. We can accommodate interviews for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter. Accommodations
We are committed to an inclusive recruitment process and provide reasonable accommodations as needed. Contact your recruiter for assistance during the process. Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Climate Data and Analytics and Software Development Note: This description focuses on the role responsibilities and qualifications; other postings and salary snippets shown in the original listing have been omitted to keep this description concise and relevant.
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