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Computer Vision & Machine Learning Engineer

Buzz Solutions
Location
Remote, US
Posted
23 days ago
Department
Software Engineering
What they actually want (must-haves)
  • 2-5 years of industry experience in computer vision and machine learning
  • Solid understanding in modern computer vision and deep neural networks, including object detection, semantic segmentation, image classification, vision transformers, and foundation models
  • Experience taking at least one ML model into production and maintaining it
  • Experience selecting, fine-tuning, and adapting model architectures for specific use cases
  • Demonstrated ability to read ML research papers, extract key ideas, and implement them
  • Ability to debug training instabilities and conduct systematic error analysis
Nice to have
  • Multi-modal computer vision
  • Custom object detection model development
  • Generative models for data augmentation
  • Extracting measurements from GIS and/or drone-metadata-enriched imagery
  • Model quantization and latency optimization for edge deployment
What the job really is

The Computer Vision & Machine Learning Engineer at Buzz will focus on advancing computer vision initiatives for power grid infrastructure. Daily tasks include owning and delivering end-to-end projects, adapting algorithms from research papers, and developing production-grade Python libraries. The role requires collaboration with a team of ML engineers and involves research, experimentation, and engineering tasks to ensure reliable model deployment and performance monitoring.

Things to weigh
  • No salary listed
  • Remote position may require self-motivation and discipline
  • Position does not include sponsorship for United States work authorization
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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