AI Research Intern – Applied AI

About Us

pushing the boundaries of applied AI

• Experiment with open-source and commercial AI models across vision, OCR, and LLMs.
• Fine-tune models on custom datasets and evaluate their performance on real-world tasks.
• Prototype workflows that combine perception (symbols, text, layouts) with reasoning (graphs, classifications).
• Help design and run benchmarks to measure accuracy, efficiency, and deployment readiness.
• Work closely with the core team to translate research findings into production-ready components.
  

• Strong Python skills and experience with PyTorch or TensorFlow.
• Prior exposure to training or fine-tuning ML models (academic projects or internships).
• Curiosity and persistence to try multiple approaches, analyze results, and iterate fast.
• Comfortable working in ambiguity, where problems are open-ended and datasets are messy.
• Bonus: familiarity with YOLO/Ultralytics, MMDetection, Detectron2, Hugging Face, or OCR libraries.
  

• 3–6 months internship, with potential for extension or conversion to a full-time role.
  

• Work on high-impact AI problems in a space that’s still largely untouched by modern ML.
• Access to real industrial datasets (documents, diagrams, logs) not easily available elsewhere.
• Learn how to take ideas from research notebooks → deployed systems in weeks.
• Collaborate closely with a small, technical founding team in a YC-backed, VC-funded startup.