Software Engineer MLComputer Vision (Battery Sorting)

Software Engineer ML/Computer Vision (Battery Sorting)

The Battery Sorting team at Redwood Materials is building a world-class ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors. This role sits at the intersection of software engineering and machine learning with direct ownership of the production systems powering automated battery sorting on the factory floor. The ideal candidate is equally comfortable debugging a production incident as iterating on a model and will have the opportunity to generate patents in automated battery classification. This is a high-impact highly visible role with immediate real-world application in advancing the energy transition.

Hours

Full-time Schedule may vary depending on site operational needs; flexibility required

Responsibilities will include:

• 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

Desired Qualifications:

• 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!

Working Conditions:

• 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

The position is full-time. Compensation will be commensurate with experience.

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