2 days ago
San Francisco, CA, USAEntry Level / Mid Level
Responsibilities
- Build data pipelines integrating farm sensor data, satellite and drone imagery, weather sources, and agronomic records.
- Train, evaluate, and deploy machine learning models and supporting infrastructure.
- Ship product features to growers, observe real-world usage, and iterate based on feedback.
- Help select the technology stack and establish engineering practices.
- Contribute to future hiring as an early member of the engineering team.
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 in data engineering, machine learning, or AI agent development, including shipping production code for users.
- Evidence of substantial projects through research, open source, startup work, or independently built products.
- 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 but not required.
Benefits
- Base salary up to $250,000 annually plus meaningful equity.
- On-site in San Francisco, California, five days per week.
Tech Stack
Categories
Data EngineeringML Engineering