Redwood Materials

Software Engineer - ML/Computer Vision (Battery Sorting)

Redwood Materials

San Francisco•On-site•2-5 Yrs•10 hours ago

About Redwood Materials

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
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
2+ 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

Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments
Strong cross-functional communication skills and ability to prioritize and execute in a fast-paced, dynamic environment
A passion for sustainability and making the world a better place!
Factory floor environment; work schedule may vary depending on site operational needs and flexibility is required
Willingness and ability to travel to Reno, NV as needed
Additional working conditions to be confirmed with Hiring Manager

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