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Software Engineer (ML / Computer Vision) — Battery Sorting | Onsite

Machine Learning Computer Vision Python

About the Role

Redwood Materials is building a high-throughput, ML-enabled battery sorting platform. Our Battery Sorting team uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across a wide range of chemistries and form factors.

Responsibilities

  • Develop and improve software for ML and computer vision workflows used in battery sorting
  • Build reliable data pipelines to support model training, evaluation, and deployment
  • Collaborate with cross-functional teams to integrate models into production systems
  • Monitor performance and iterate on system accuracy, latency, and robustness

Requirements

  • Experience building production software with machine learning and/or computer vision
  • Strong programming skills (e.g., Python) and familiarity with ML tooling
  • Ability to work with real-world data and handle engineering tradeoffs
  • Experience collaborating in a fast-moving, product-focused environment

Benefits

  • Work on mission-driven technology supporting the energy transition
  • Opportunity to scale ML systems for real-world industrial operations
  • Collaborate with a team focused on quality, reliability, and impact
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Posted on July 18, 2026
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