Software Engineer - ML/Computer Vision (Battery Sorting)

• 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 • Experience contributing to production codebases and pipelines with an emphasis on clean, well-documented, and well-tested code • Experience designing and tracking ML experiments using tools such as MLflow • Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments • Experience with OCR, image classification pipelines, or multi-sensor and multimodal fusion • Experience working in or alongside industrial, manufacturing, or operations environments where software interacts with physical systems • 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!