About the role
You’ll own and expand our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation.
What you'll do
- Architect, build, and deploy ML systems for object detection, segmentation, document understanding, and information extraction from complex building plans
- Drive R&D across computer vision and/or NLP as applied to construction documents and related data
- Develop multi-modal approaches that combine vision with language features for document analysis (LLMs/NLP). Familiarity with different RAG methods is a plus
- Mentor junior engineers and help raise the bar on execution, code quality, and decision-making
- Ensure systems are reliable, maintainable, testable, and observable in production
Qualifications
- 8+ years of experience in Machine Learning Engineering, with deep focus in computer vision
- Expert Python skills, with strong experience in PyTorch and FastAPI
- Proven work with segmentation models, detection frameworks, and OCR/document pipelines
- Strong image processing fundamentals (OpenCV, geometric transforms, preprocessing, etc.)
- Comfortable in Linux; hands-on with Docker/containerization for deployment
- Experience building and maintaining MLops infrastructure (e.g., ClearML, MLflow)
- Ability to design scalable, high-performance ML systems (not just prototypes)
- Strong problem-solving ability and comfort operating independently in a fast-paced environment
What Makes You a Great Fit
- High agency: you ship, iterate, and fix what’s broken—without waiting for permission
- You’ve delivered ML systems end-to-end in production (data → model → deployment → iteration)
- You’re a strong engineer who cares about getting better—trajectory matters here
- You communicate clearly, especially with a remote and cross-cultural team
- You’re gritty and genuinely enjoy solving hard problems
Bonus Points
- Experience building systems for document reading / understanding
- Ambitious, driven, and opinionated about quality and craft
- Experience with deep learning inference frameworks (e.g., TensorRT, PyTorch compile) and optimizing inference performance
- You keep up with current ML/AI developments and can apply them pragmatically
What We Offer
- Competitive salary + meaningful equity
- Comprehensive benefits (health, dental, vision)
- Professional development budget (courses, conferences, research exploration)
- Real-world ML problems with direct impact
- High growth potential
