Our Culture:

• Unshakeable Resilience – Our customers feed millions of people, and our customers depend on us. We are ultra-hardworking, never give up, and we do whatever it takes.

• Farmers First – Every team member spends at least a few days in the fields with our farmers each month.

The Role:

In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing.

We are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems.

About the role: 

• Full-time, 5 days a week, in-person role at our San Francisco, CA office

• Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium

• We move fast, and sometimes this means staying late or working weekends 

• Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team

• We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed.

What you’ll do:

• Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.

• Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems.

• Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices.

• Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance.

• Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems.

• Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features.

• Be a generalist, supporting different parts of our software stack as needed.

What makes you a good fit:

• 5+ years of experience building production-grade data pipelines and ML infrastructure.

• Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).

• Strong experience with data engineering tools (e.g., Pandas, SQL, Apache Airflow, Spark).

• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

• Experience working with massive amounts of real-world training data.

• Familiarity with MLops software and data engineering to ensure consistent deployment of ML models.

• Ability to work independently, learn quickly, and operate in a dynamic environment

• Enthusiasm for taking on multiple roles and responsibilities as our company grows.

Bonus Points:

• Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson

• Experience prototyping, evaluating, or deploying new ML/CV models on the edge.

If you're looking to help make a positive impact in the world by building the future of farming, come join us!