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.

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.