Software Engineer Intern
Allus AI
About the role
Allus AI is building the next generation of vision intelligence systems.
What we'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
Excited about startups, ownership, and building production systems
Nice to have
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
Relevant experience
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
Responsibilities
- Build and contribute to computer vision and machine learning projects
- Train, fine-tune, and evaluate vision models
- Support dataset generation, curation, and benchmarking
- Contribute to production systems and ML training infrastructure
Qualifications
- Pursuing a BS, MS, or PhD in computer science, machine learning, electrical engineering, robotics, or a related field
- Strong programming skills in Python
- Experience with computer vision projects, ML research, or relevant open-source contributions
- Familiarity with PyTorch or similar deep learning frameworks
- Understanding of modern computer vision architectures and training workflows
- Strong problem-solving skills and willingness to learn quickly
- Interest in startups, ownership, and building production systems