Software Engineer, ML/Computer Vision

Responsibilities

• Develop, test, and maintain production software systems for automated battery sorting, including ML inference and sensor integration
• Train and deploy computer vision models for battery chemistry classification
• Build and maintain services and APIs connecting ML outputs to downstream systems like MES and PLC/controls
• Own observability through logging, metrics, and on-call triage for inference pipelines
• Monitor model performance to catch regressions and drive iterative improvements
• Contribute to infrastructure-as-code and CI/CD workflows
• Collaborate cross-functionally with Controls, Hardware, Manufacturing, and DevOps teams

Requirements

• B.S. in Computer Science, Electrical Engineering, or a related field
• 2+ years of industry experience with machine learning models, preferably in computer vision
• Hands-on experience with PyTorch and OpenCV
• Experience contributing to production codebases with clean, well-tested code
• Experience designing and tracking ML experiments using tools like MLflow
• Familiarity with edge deployment or model optimization (e.g., TensorRT, ONNX Runtime)
• Experience with OCR, image classification, or multimodal fusion
• Experience working in industrial or manufacturing environments

About the Company

Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling—keeping critical minerals in circulation and driving the energy transition.