Senior Machine Learning Engineer

United States·San Franciscofull-timesenior

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

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

Technical Tools

Machine Learning EngineerData

At Orchard, we’re securing America’s food supply by building the AI Farmer that automates our nation’s farms. We are the industry leader, growing rapidly, and backed by more than $25 million from leading investors, including Quiet Capital, Shine Capital, and General Catalyst.

Every year, hundreds of billions of dollars in crop value are lost because critical farming decisions are made using incomplete and imprecise data. We’re building the technology to change that.

Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more. We train edge vision AI models that analyze every plant and determine exactly what interventions and treatments it needs. That intelligence flows into FruitScope OS, our farm-management platform, where growers can understand their crops, make better decisions, and direct operations in the field.

Today, Orchard’s technology is trusted by some of our nation’s largest farms. They use our products to grow higher-quality crops while reducing chemical use and operating costs, helping them farm more profitably and sustainably than ever before.

About the Role

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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.

Responsibilities

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Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms.
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Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems.
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Develop, deploy, and monitor infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices.
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Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance.
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Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems.
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Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features.
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Be a generalist, supporting different parts of our software stack as needed.

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.

Nice to Have

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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!