Staff machine learning engineer

San Francisco

Full time

On-site

Tech Engineering

• $247.8K - $297.6K

At Watershed, we strive to design consistent, fair, and competitive compensation programs. The total cash compensation range may be inclusive of several levels at Watershed and final offer will be determined by a number of factors, including the candidate's skills, capabilities, and location, as well as scope of the role.

The anticipated cash compensation range is in addition to a total rewards benefit package including equity, health/dental/vision insurance, 401(k), unlimited paid time off, paid parental leave, fertility, and mental health programs, etc.

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 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!

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 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.

What's the interview process like?

It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.

What if I need accommodations for my interview?

At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations 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.

Compensation Range: $247.8K - $297.6K