Computer Vision / Deep Learning Scientist

Level: Junior, Intermediate, Senior

Location: Atlanta, GA (Hybrid) or Fully Remote for candidates outside the Atlanta area

Role Overview

Computer Vision / Deep Learning Scientists collaborate with cross-functional product teams across multiple business units to identify high-impact business problems and deliver scalable, data-driven solutions. This role involves designing, developing, and deploying novel computer vision and deep learning models, as well as evaluating model performance and data quality throughout the solution lifecycle.

The ideal candidate is highly technical, research-oriented, and collaborative, with strong experience in modern deep learning frameworks and computer vision techniques.

Key Responsibilities

Partner with product and business teams to define and solve complex, high-value computer vision problems
Design, develop, and implement deep learning and computer vision models for unique real-world use cases
Evaluate model accuracy, performance, and data quality; iterate to improve outcomes
Conduct research to stay current with emerging algorithms, tools, and best practices in computer vision and deep learning
Implement and optimize models for GPU-based training and inference, including parallel execution on GPU clusters
Contribute to the full model lifecycle, from experimentation and prototyping through deployment and monitoring

Required Technical Skills

Strong proficiency in Python
Hands-on experience with deep learning frameworks such as TensorFlow, Keras, and/or PyTorch
Experience with deep learning–based image processing techniques, including:
Object detection
Image classification
Semantic segmentation
Familiarity with common CNN architectures (e.g., VGG16, ResNet, MobileNet)
Experience with traditional computer vision and image processing techniques using OpenCV, scikit-image (skimage), or similar libraries
Experience training and running models on GPU-enabled systems and GPU clusters

Qualifications

Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics, or a related field
Level-appropriate experience (Junior, Intermediate, or Senior) in computer vision and/or deep learning roles

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