Data Scientist
Summary
Build and improve AI models (LLMs, CV, classical ML) that extract quantities and costs from PDF drawings for real customers.
Welcome to Drawer.AI!
- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.
We are looking for an AI/ML Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.
Key Responsibilities:
Research and solve complex AI challenges.
Improve existing algorithms using ML and LLMs.
Design and build new AI solutions.
Collaborate with the engineering team to bring ideas into production.
Requirements:
4+ years of experience in AI/ML.
Commercial experience with Computer Vision and classical Machine Learning (at least 1 year).
Strong knowledge of Machine Learning and Deep Learning.
Experience with PyTorch, TensorFlow, or similar.
Strong algorithmic and problem-solving skills.
Experience deploying ML models to production.
Experience with LLMs and modern AI frameworks.
Nice to have:
AWS experience.
LangChain.
FastAPI or Django.
Experience with PDF/SVG processing.
Experience with Graph Neural Networks (GNNs).
AI research, Kaggle, hackathons, or publications.
Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!