Startups · AI

Software Engineer Internship

Allus AI · San Jose, CA, US / Atlanta, GA, US / Remote (US) · Remote

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About Allus AI

Transforming manufacturing with our next-gen Vision Foundation Model. Backed by Y Combinator.

About the role

Allus AI is hiring a Software Engineer Internship in San Jose, CA, US / Atlanta, GA, US / Remote (US). The full description is on Allus AI's site.

What they're looking for

  • Pursuing a BS, MS, or PhD in Computer Science, Machine Learning, Electrical Engineering, Robotics, or a related field
  • Strong programming skills in Python
  • Experience building ML projects, research projects, or open-source contributions involving computer vision
  • Familiarity with PyTorch or similar deep learning frameworks
  • Understanding of modern computer vision architectures and training workflows
  • Strong problem-solving ability and willingness to learn quickly
More about this role
  • Pursuing a BS, MS, or PhD in Computer Science, Machine Learning, Electrical Engineering, Robotics, or a related field
  • Strong programming skills in Python
  • Experience building ML projects, research projects, or open-source contributions involving computer vision
  • Familiarity with PyTorch or similar deep learning frameworks
  • Understanding of modern computer vision architectures and training workflows
  • Strong problem-solving ability and willingness to learn quickly
  • Excited about startups, ownership, and building production systems
  • Experience training or fine-tuning vision models
  • Experience with object detection, segmentation, OCR, or multimodal systems
  • Experience with distributed training or GPU optimization
  • Publications, research experience, Kaggle competitions, or open-source contributions
  • Familiarity with foundation models such as CLIP, DINOv2, SAM, Florence, Qwen-VL, or similar systems
  • Computer vision projects
  • Machine learning research
  • Foundation model fine-tuning
  • Dataset generation and curation
  • Model evaluation and benchmarking
  • MLOps and training infrastructure
  • Open-source ML contributions

Read the full posting on Allus AI's site ↗

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