Member of Technical Staff, Applied Research

📋 Description

• Develop and train vision-language models for document processing.
• Build data pipelines for data curation, synthetic data, labeling, and benchmarks.
• Evaluate base models and perform post-training or fine-tuning.
• Improve model accuracy, latency, and cost in production.
• Design benchmarks for extraction quality, OCR, and end-to-end reliability.
• Collaborate with engineering to move research prototypes into production.

🎯 Requirements

• 3–7 years in ML engineering, applied research, or research engineering.
• Strong ML foundation; benchmarking and training models.
• Strong Python skills; experience with PyTorch.
• Experience with CV, vision-language models, NLP, OCR or extraction.
• Ability to design experiments and iterate toward performance improvements.
• Production-quality code and strong engineering judgment.

🎁 Benefits

• Ownership over model quality and product direction.
• Work directly with technical founders and a strong engineering team.
• Join a fast-growing startup with open-source traction.
• Collaborate across research, engineering, product, and customers.
• Use modern AI coding workflows to move quickly.