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Open nowPosted 3 hours ago

Founding Engineer

Clera278 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowFounding EngineerClera · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Clera's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 3 hours ago

Clera median: 6 days open

The posting

ABOUT THE ROLE

Join an early-stage agricultural technology team building an intelligence platform to help make sense of crop, soil, weather, and farm operations data. As one of the first engineers, you will take on end-to-end 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, along with the infrastructure that supports them.

- Put product features in front of growers, observe how they work in practice, and iterate based on what you learn.

- Help choose the technology stack, establish engineering practices, and contribute to future hiring.

WHAT WE'RE LOOKING FOR

- Roughly 0 to 4 years of professional experience, or an equivalent record of building and shipping work.

- Strong coding ability in Python and/or TypeScript, with comfort working across the stack.

- Experience specializing in data engineering, machine learning, or AI agent development, and a record of shipping code into production for users.

- Evidence of completing substantial projects, such as research, open source, startup work, or independently built products.

- Persistence through challenging technical or personal projects, and curiosity about AI and real-world industries.

- Experience with PyTorch, computer vision, time-series, or geospatial data is a plus.

- Interest or experience in agriculture, climate, food, hard tech, or early-stage startups is welcome. Agriculture experience is not required.

COMPENSATION & BENEFITS

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

LOCATION

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

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    The review screen in CV Rocket: how each CV was read, round by round.

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3×

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