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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.
Responsibilities
- 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.
Requirements
- 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.
Skills
- Python
- TypeScript
- Data Engineering
- Machine Learning
- AI Agent Development
- PyTorch
- Computer Vision
- Time-series data
- Geospatial data
Location
- San Francisco, California, United States
Work Type
- On-site
- Full-time
Experience Level
- 0-4 years
Salary/Compensations
- Up to $250,000 annually
Benefits
- Meaningful equity
About the Company
- Early-stage agricultural technology team building an intelligence platform.