ML/Computer Vision Engineer for Battery Sorting

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

Job summary

Redwood Materials is looking for a Software Engineer specialized in ML/Computer Vision in San Francisco, CA. In this role, you will develop software for automated battery sorting systems, focusing on machine learning model implementation and optimization. Candidates should be proficient in relevant technologies like PyTorch and OpenCV, with a passion for sustainability.

The position requires a Bachelor's degree in a relevant field and at least two years of industry experience. The salary range is between $152,500 and $287,500 USD depending on experience.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
• 2+ years of experience working with machine learning models, especially in computer vision.
• Hands-on experience with ML frameworks like PyTorch and OpenCV.

Responsibilities

• Develop and maintain production software systems for automated battery sorting.
• Train and deploy computer vision models for classification.
• Build and maintain services that connect ML outputs to downstream systems.

Skills

Machine learning models

Computer vision

PyTorch

OpenCV

Production codebases

ML experiments tracking

Software engineering

Education

B.S. in Computer Science, Electrical Engineering, or related field

Tools

MLflow

TensorRT

ONNX Runtime

Job description

Redwood Materials is looking for a Software Engineer specialized in ML/Computer Vision in San Francisco, CA. In this role, you will develop software for automated battery sorting systems, focusing on machine learning model implementation and optimization. Candidates should be proficient in relevant technologies like PyTorch and OpenCV, with a passion for sustainability.

The position requires a Bachelor's degree in a relevant field and at least two years of industry experience. The salary range is between $152,500 and $287,500 USD depending on experience.