ML/CV Software Engineer for Battery Sorting (Production)

Redwood Materials, Inc.; San Francisco (CA); On-site; USD 152,500 - 287,500; Full time

Job summary

Redwood Materials, Inc. seeks a Software Engineer specializing in ML and computer vision to develop cutting-edge battery sorting systems. This full-time position is crucial to advancing sustainable energy initiatives, working on a world-class platform that automates the sorting of batteries using machine learning. Ideal candidates are encouraged to apply if they have a strong passion for sustainability and relevant experience in the field.

The opportunity involves partnership with diverse teams to push the boundaries of battery recycling, leveraging advanced technologies and a deep commitment to the energy transition.

Qualifications

• 2+ years of industry experience with machine learning models.
• Hands-on experience with ML frameworks like PyTorch and OpenCV.
• Experience with production codebases emphasizing clean and well-documented code.

Responsibilities

• Develop and maintain production software for automated battery sorting.
• Train and deploy computer vision models for battery classification.
• Collaborate with cross-functional teams to improve software and models.

Skills

Machine Learning

Computer Vision

Software Development

PyTorch

OpenCV

Data Analysis

APIs

Collaboration

Education

B.S. in Computer Science or related field

Tools

MLflow

TensorRT

ONNX Runtime

Job description

Redwood Materials, Inc. seeks a Software Engineer specializing in ML and computer vision to develop cutting-edge battery sorting systems. This full-time position is crucial to advancing sustainable energy initiatives, working on a world-class platform that automates the sorting of batteries using machine learning. Ideal candidates are encouraged to apply if they have a strong passion for sustainability and relevant experience in the field.

The opportunity involves partnership with diverse teams to push the boundaries of battery recycling, leveraging advanced technologies and a deep commitment to the energy transition.