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Clera

Founding Engineer

San Francisco · On-site · FullTime · Engineering

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About the role

Machine LearningPythonTypeScriptComputer Vision
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.