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.

Responsibilities

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

Requirements

• 2+ years of industry experience building production-grade data pipelines and ML infrastructure
• Proficiency in Python and experience with PyTorch
• Strong experience with Pandas, SQL, MLFlow, or WandB
• Familiarity with AWS, GCP, Docker, and 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 or deploying new ML/CV models on the edge

Benefits

• Generous equity compensation
• Comprehensive Health, Vision, and Dental coverage (100% premium covered)