Senior Machine Learning Engineer

About the Company

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms through advanced camera systems and our cloud data platform, FruitScope.

Responsibilities

• Build and maintain scalable ETL pipelines for processing large, diverse image datasets
• Stay up-to-date with current literature in computer vision models and architectures
• Develop, deploy, and monitor infrastructure for model training, evaluation, and inference on cloud and edge devices
• Design and implement intelligent active sampling infrastructure to optimize data collection
• Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems
• Work with agronomists and farmers to translate domain knowledge into actionable ML features
• Support different parts of the software stack as a generalist

Requirements

• 5+ years of experience building production-grade data pipelines and ML infrastructure
• Proficiency in Python
• Experience with ML frameworks such as TensorFlow or PyTorch
• Strong experience with data engineering tools like Pandas, SQL, Apache Airflow, or 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
• Ability to work independently in a dynamic environment

Preferred Qualifications

• Experience deploying and optimizing ML models on embedded compute like NVIDIA Jetson
• Experience prototyping, evaluating, or deploying new ML/CV models on the edge