Software Engineer - ML/Computer Vision (Battery Sorting)Active$153K

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. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.

What you'll do

• Develop, test, and maintain production software systems powering automated: battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces

• Train and deploy computer vision models for battery chemistry classification,: including dataset annotation, preprocessing, and evaluation within established data pipelines

• Build and maintain services and APIs that connect ML outputs to downstream: systems including MES, HMI, and PLC/controls interfaces

• Own observability across the production software stack through structured: logging, metrics dashboards, alerting, and on-call triage for inference pipelines and supporting services

• Monitor model performance in production to catch regressions or distribution: shifts and drive iterative improvements through data analysis and retraining

• Contribute to infrastructure-as-code and CI/CD workflows to validate,: version, and deploy application code and ML model artifacts to production environments

What they're looking for

• Collaborate cross-functionally with Controls, Hardware, Manufacturing,: DevOps, and IT teams to translate operational needs into software and model improvements
• B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
• + years of industry experience working with machine learning models, preferably in computer vision
• Hands-on experience with ML frameworks and libraries such as PyTorch and OpenCV