Member of Technical Staff, Applied ResearchActive$180K–$250K
The opportunity
We are looking for an AI Research Engineer to join our document understanding team.
What you'll do
Develop and train vision-language models for document processing and document understanding.
Build data pipelines for data curation, synthetic data generation, labeling, and benchmark creation.
Evaluate base models and perform post-training or fine-tuning to hit specific performance targets.
Improve model accuracy, latency, and cost-effectiveness across real-world document workflows.
Design and maintain benchmarks to measure extraction quality, layout: understanding, OCR performance, reasoning accuracy, and end-to-end system reliability.
Work with messy real-world documents, including PDFs, scanned documents,: tables, charts, forms, and multi-page enterprise documents.
What they're looking for
- –7 years of experience in machine learning engineering, applied research, or research engineering.
- Strong ML foundation, including hands-on experience benchmarking and training models.
- Strong Python skills and comfort with modern ML tooling, especially PyTorch.
- Experience with computer vision, vision-language models, NLP, document AI,: OCR, extraction, or agentic AI systems.
- Ability to build experiments, evaluate results, and iterate quickly toward: measurable performance improvements.
- Strong engineering judgment and ability to write clean, production-quality code.
- Comfort working in a fast-paced startup environment with high ownership and limited structure.
- Adaptable, scrappy, and self-directed: someone who can figure things out without waiting to be told.
