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About the Role

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. 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. This is a high-impact, highly visible role with immediate real-world application in advancing the energy transition.

Responsibilities

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

Requirements

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
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!

Skills

PyTorch
OpenCV
MLflow
Quantization
TensorRT
ONNX Runtime
OCR
Image classification pipelines
Multi-sensor and multimodal fusion

Location

Reno, NV

Work Type

Full-time
Factory floor environment

Experience Level

2+ years of industry experience

Education Level

B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience

Salary/Compensations

$152,500—$200,000 USD

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.
Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.