Machine Learning Engineer

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems.

Responsibilities

Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms; Develop and deploy 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; Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems; 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

Requirements

2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure; Proficiency in Python and experience with ML frameworks (e.g., PyTorch); Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB); Familiarity with cloud platforms (AWS, GCP) 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

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

Benefits

Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium