Allus AI (YC F25) logo
Allus AI (YC F25)
Posted 100 days agoVerified live 2d ago

Software Engineer Internship

Brief overview

Atlanta, GA, USHybrid
UndergradOr in progress
$6k–$8k/moStated range

About the company

Allus AI (YC F25) logo
Allus AI (YC F25)allus.ai

Allus is a company that offers specialized AI vision-based services tailored to industrial manufacturing corporations worldwide that excel in optimizing processes and boosting productivity.

Job description

Summary

Allus AI is building the next generation of vision intelligence systems, and they are seeking Software Engineer Interns. The role involves working with machine learning and computer vision technologies, requiring strong programming skills and a passion for innovation.

Skills

  • 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

Qualifications

Must Haves

  • 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

Nice to Haves

  • 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

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