Machine Learning Engineer

Orchard

full-time

Posted on: 9/19/2025

Origin: • 🇺🇸 United States • California

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💰 $150,000 - $215,000 per year

Mid-LevelSenior

AirflowApacheAWSAzureCloudDockerETLGoogle Cloud PlatformKubernetesPandasPythonPyTorchSparkSQLTensorflow

About the role

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

3-5+ 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