ML/Computer Vision Engineer - Battery Sorting (Factory Floor)

Dormont Manufacturing Co

United States

On-site

USD 152,500 - 287,500

Full time

14 days+

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Job summary

Redwood Materials is seeking a full-time Software Engineer specializing in ML and Computer Vision for its Battery Sorting team. This role involves developing a sorting platform that classifies end-of-life batteries efficiently using advanced machine learning techniques. The ideal candidate will be adept in debugging production incidents and iterating on models, with opportunities to generate patents in automated battery classification.

The position offers a competitive salary range between $152,500 and $287,500 annually, depending on experience.

Qualifications

  • 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 with an emphasis on clean, well-documented code.

Responsibilities

  • Develop, test, and maintain production software systems for automated battery sorting.
  • Train and deploy computer vision models for battery chemistry classification.
  • Collaborate cross‑functionally with various teams to translate operational needs into software improvements.

Skills

Machine learning
Computer vision
Python
PyTorch
OpenCV

Education

B.S. in Computer Science or Electrical Engineering

Tools

MLflow
TensorRT
ONNX Runtime

Job description

Redwood Materials is seeking a full-time Software Engineer specializing in ML and Computer Vision for its Battery Sorting team. This role involves developing a sorting platform that classifies end-of-life batteries efficiently using advanced machine learning techniques. The ideal candidate will be adept in debugging production incidents and iterating on models, with opportunities to generate patents in automated battery classification.

The position offers a competitive salary range between $152,500 and $287,500 annually, depending on experience.

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