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Closed listing

Founding Engineer

  • San Francisco, CA, United States

Up to $250,000 USD / year

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
Up to $250,000 USD / year
Experience
Roughly 0 to 4 years of professional experience, or equivalent evidence of strong building ability.
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

ABOUT THE ROLE

Join an early-stage agricultural technology team building AI tools to make sense of crop, soil, weather, and farm operations data. As one of the first engineers, you will take on open-ended technical challenges and help shape the product and engineering culture.

WHAT YOU'LL DO

  • Build data pipelines that bring together farm data from sensors, satellite and drone imagery, weather sources, and agronomic records.
  • Train, evaluate, and deploy machine learning models and the infrastructure that supports them.
  • Put product in front of growers, observe how they use it, and rapidly iterate based on feedback.
  • Help select the technical stack, establish engineering practices, and grow the team.

WHAT WE'RE LOOKING FOR

  • Roughly 0 to 4 years of professional experience, or equivalent evidence of strong building ability.
  • Strong coding skills in Python and/or TypeScript, with the flexibility to work across the stack.
  • A track record of shipping projects end to end, such as personal projects, research, open source work, or startup products.
  • Persistence in tackling difficult technical or personal challenges.
  • Curiosity about AI and real-world systems; prior agriculture experience is not required.
  • Experience with machine learning, computer vision, time-series data, or geospatial tools is a plus.
  • Background in agriculture, climate, food, hard tech, or an early-stage startup is a plus.

COMPENSATION & BENEFITS

Base salary up to $250,000 annually, plus meaningful equity. Visa sponsorship policy was not provided.

LOCATION

On-site, five days a week in San Francisco, California, United States.

More about this job

Skills

  • Machine learning
  • Python
  • TypeScript
  • Research

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