Orchard

About the Company

We're a team of engineers, researchers, and farmers on a mission to revolutionize one of Earth's most important industries - agriculture. At Orchard, we're securing America's food supply by building the AI farmer that automates our nation's farms. Our mission is to help farmers produce more food for the world, more profitably and sustainably than ever before. Farmers across the U.S. use our industry-leading hardware-enabled software to look at their data, make critical decisions, and command farming operations. Our technology is used today across some of the largest farms in the nation.

Listed Jobs

Company Name

Orchard

Job Title

Machine Learning Engineer

Job Description

**Job Title:** Machine Learning Engineer **Role Summary** Develop machine learning (ML) and computer vision (CV) solutions to process farm data collected via advanced camera systems, enabling agricultural automation and farm optimization. Focus on training edge ML models on large real-world farm image datasets. **Expectations** - 3-5+ years building ML infrastructure and data pipelines. - Proficiency in Python, ML frameworks (TensorFlow/PyTorch), and cloud platforms (AWS, GCP, Azure). - Experience with data engineering tools (Pandas, SQL, Airflow, Spark) and containerization (Docker, Kubernetes). - Ability to work independently in a fast-paced, dynamic environment. **Key Responsibilities** - Build and maintain ETL pipelines for farm image data processing. - Design and deploy ML infrastructure (training, evaluation, inference) in cloud and edge environments. - Develop active sampling infrastructure to optimize data collection and model performance. - Integrate ML solutions into robotics systems and collaborate with agronomists to apply domain knowledge. - Support cross-functional teams and troubleshoot software stack components. **Required Skills** Python, ML frameworks (TensorFlow/PyTorch), data engineering tools (Pandas, SQL, Airflow, Spark), cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), MLops practices. **Required Education & Certifications** None specified.

San francisco, United states

On site

07-09-2025

Company Name

Orchard

Job Title

Machine Learning Engineer (Junior)

Job Description

**Job Title:** Machine Learning Engineer (Junior) **Role Summary:** Design and implement scalable machine learning (ML)/computer vision (CV) systems for agricultural robotics, focusing on training edge ML models using massive datasets from farm-collected imagery. Develop infrastructure for ETL pipelines, active sampling, and model deployment to optimize crop analysis and precision farming. **Expectations:** - 1-3 years of production-grade ML/MLops experience. - Python proficiency and ML framework expertise (e.g., TensorFlow, PyTorch). - Cloud platform knowledge (AWS, GCP, Azure). **Key Responsibilities:** 1. Build ETL pipelines for processing diverse, large-scale farm image datasets. 2. Develop and monitor end-to-end ML infrastructure (training, evaluation, inference) for cloud and edge deployment. 3. Optimize data collection through active sampling systems to improve model performance. 4. Integrate ML solutions into agricultural robotics and production workflows. 5. Collaborate with agronomists to translate domain expertise into ML features. 6. Support cross-functional teams in maintaining and scaling software systems. **Required Skills:** - Python programming and ML framework experience (TensorFlow, PyTorch). - Data engineering tools (Pandas, SQL, MLFlow/WandB). - Cloud and containerization technologies (AWS/GCP/Azure, Docker, Kubernetes). - MLops practices for model deployment and monitoring. - Handling large-scale, real-world training data. **Required Education & Certifications:** - Bachelor’s/Master’s degree in Computer Science, Engineering, or related field. - Preferred: Familiarity with embedded systems (e.g., NVIDIA Jetson) or edge ML deployment.

San francisco, United states

On site

Junior

12-11-2025