Software Engineer Image Processing and Machine Learning

Software Engineer Image Processing & Machine Learning

Essential Duties:

We are seeking a Software Engineer with expertise in image processing machine learning and AIdriven classification to support the development of automated material identification and sorting systems. This role will focus on developing algorithms to process images train models for classification and integrate intelligent automation solutions into Redwoods recycling and material recovery workflows. The ideal candidate has a strong background in computer vision deep learning and software engineering with a passion for sustainability and highimpact innovation.

If necessary we will adjust the job level to suit your experience and responsibilities.

Responsibilities will include:

• Develop and optimize image processing algorithms for analyzing highresolution images of materials across multiple angles and spectra (visual Xray)
• Train machine learning models for classification and object detection optimized for material sorting and recycling processes.
• Work with Xray hyperspectral and other imaging modalities to extract relevant features for automated decisionmaking.
• Integrate computer vision and ML models into Redwoods software infrastructure for realtime material classification and automated control systems.
• Process and analyze large datasets to improve model accuracy optimize inference speeds and reduce false positives.
• Collaborate with software robotics and hardware teams to develop scalable productionready solutions.
• Deploy monitor and maintain ML pipelines ensuring reliability and robustness in an industrial setting.
• Optimize neural network architectures for efficient inference on edge devices and embedded systems.
• Work with cloudbased or onpremises computing environments to handle largescale training and inference workloads.
• Continuously explore new techniques in AI deep learning and computer vision to drive innovation and improve efficiency.

Desired Qualifications:

• Bachelors or Masters degree in Computer Science Machine Learning Electrical Engineering or a related field.
• 3 years of experience in image processing computer vision or machine learning applications.
• Proficiency in Python and deep learning frameworks (e.g. TensorFlow PyTorch OpenCV).
• Strong understanding of convolutional neural networks (CNNs) object detection and classification techniques.
• Experience with image datasets preprocessing techniques and feature extraction.
• Familiarity with hardware acceleration for AI inference (e.g. TensorRT ONNX CUDA Edge TPU).
• Experience deploying machine learning models in realworld environments (cloud edge computing or embedded systems).
• Ability to process large datasets and optimize model performance for realtime applications.
• Experience with Xray or hyperspectral imaging is a plus.
• Familiarity with industrial automation robotics or manufacturing environments is a plus.

Physical Requirements:

• Ability to perform the essential job functions consistent safely and successfully with the ADA FMLA and other federal state and local standards including meeting qualitative and/or quantitative productivity standards.
• Ability to maintain regular punctual attendance consistent with the ADA FMLA and other federal state and local standards

Working Conditions:

• Environment such as office or outdoors.
• Ability to work in challenging working conditions which may include exposure to noise dust chemicals and temperature extremes while protected by PPE for extended periods of time.
• Essential physical requirements such as climbing standing stooping or typing.
• Occasional work weekends nights or be oncall as a regular part of the job.
• Occasional travel requirements.

The position is fulltime. Compensation will be commensurate with experience.

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