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.