Software Engineer - ML/Computer Vision (Battery Sorting)

What you'll do

• Develop and maintain production sorting software, including ML inference, image acquisition, sensor integration, and hardware-adjacent controls.
• Train and deploy computer vision models, monitor their production performance, and improve them through analysis and retraining.
• Build services connecting ML outputs to MES, HMI, and PLC/controls interfaces, and support observability and deployment workflows.

What they ask for

• 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, emphasizing clean, documented, and tested code.
• B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience with ML experiment tools such as MLflow, or edge deployment/model optimization techniques such as quantization, TensorRT, or ONNX Runtime.
• Experience with OCR, image classification, multi-sensor or multimodal fusion, or industrial/manufacturing environments.

Pay

$152,500 — $200,000 USD (base salary)

Tools

PyTorch, OpenCV, MLflow, TensorRT, ONNX Runtime, MES, HMI, PLC

AI focus

Train, deploy, monitor, and improve computer vision and machine learning models for battery chemistry classification and automated sorting.