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Senior Machine Learning Engineer at Watershed | San Francisco

WatershedSan Francisco
Remote Full-time

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Experience Level

Senior

Qualifications

Ideal Candidate Profile:Over 8 years of experience in Machine Learning and AI engineering. Proven experience in developing products utilizing LLMs, embeddings, and other machine learning technologies. Comprehensive experience in the entire lifecycle of building, deploying, and monitoring AI-driven products. Demonstrated ability to lead cross-functional teams in a fast-paced and innovative environment.

About the job

Join Watershed

At Watershed, we are leading the way in enterprise sustainability. Renowned organizations such as Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens utilize our platform to manage climate and ESG data, develop audit-ready metrics for both voluntary and regulatory reporting, including CSRD, and foster genuine decarbonization efforts. We seek passionate individuals who are eager to build impactful products within a mission-driven startup and collaborate on shaping the culture of our evolving team.

With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a remote workforce across the US and Europe, we invite you to explore the opportunity to become a part of our dynamic team!

Your Role

We are in search of an experienced machine learning engineer with a focus on AI to enhance our team. In this position, you will serve as a technical leader, developing top-notch AI tools that enable organizations to quantify and minimize their carbon emissions. You will utilize LLMs, embeddings, and various AI technologies to create valuable features for our clients, while also establishing the foundational AI architecture at Watershed.

Key Responsibilities:

  • Design, develop, and iterate on new product initiatives that empower our customers with formidable AI tools for data transformation and emission reduction strategizing.
  • Implement and deploy core technologies to enhance AI capabilities, leveraging extensive operational sustainability data.
  • Collaborate with product and AI engineering teams to define product and technical direction.
  • Create evaluations, refine models, and develop agent harnesses to ensure the reliability of AI-powered systems.
  • Stay abreast of advancements and cutting-edge developments in AI to identify applicable innovations for Watershed.
  • Write efficient, clean, tested, and maintainable code across our technology stack.

About Watershed

Watershed is an innovative enterprise sustainability platform that empowers businesses to make impactful strides in climate action and ESG management. Our cutting-edge tools are utilized by industry leaders to track their sustainability metrics and drive real change towards a greener future.

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