WA

Staff machine learning engineer

watershed· 25 open roles

Location TBD On-siteFullTime8 months ago
Salaryest.
$140,000 - $250,000
Experience
Mid
Job Type
FullTime
Posted
8 months ago
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About This RoleAI processing…

About Watershed 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, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members acro

Key Responsibilities

  • 1
    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
  • 2
    Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
  • 3
    Collaborate with product and other AI engineering teams to set product and technical strategy
  • 4
    Build evals, fine tune, create agent harnesses to build reliable AI powered systems
  • 5
    Keep up with developments and state-of-the-art in AI to determine what is relevant to Watershed
  • 6
    Write performant, well-crafted, tested, and maintainable code across our technical stack

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

Perks & BenefitsTypical for this role

Competitive compensation aligned with experience and market rate
Health, dental, and vision coverage
Paid time off and company holidays
Remote-friendly or hybrid working arrangements where applicable
Learning and professional development support
Modern tools and equipment to do your best work

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