LlamaIndex
Member of Technical Staff, Applied Research
$180K–$250K
San Francisco · Hybrid · Staff · Full-time · Posted Jul 8, 2026
- Experience
- 3–7 years in machine learning engineering, applied research, or research engineering.
About the job
Develop and productionize vision-language and document AI systems, improving their accuracy, speed, and cost through research, training, evaluation, and engineering.
What you'll do
- Develop and train vision-language models for document processing and understanding.
- Build data pipelines and benchmarks; evaluate models and perform fine-tuning or post-training.
- Improve production performance and collaborate with engineering and customers to turn research into product improvements.
What they ask for
- Strong machine learning foundation, including hands-on model training and benchmarking.
- Strong Python skills and comfort with modern ML tooling, especially PyTorch.
- Experience in computer vision, vision-language models, NLP, document AI, OCR, extraction, or agentic AI systems.
- Ability to build experiments, evaluate results, and write clean, production-quality code.
Nice to have
- Prior startup experience, or experience as a founder or early startup engineer.
- Experience with document processing systems, synthetic data, post-training, fine-tuning, benchmark design, or open-source AI infrastructure and developer tools.
Pay
$180K – $250K (base salary); 0.1% – 0.4% (total pay)
Tools
Python, PyTorch, vLLM, Pydantic, uv, ruff, mypy, Claude Code
AI focus
Applied research and engineering for document understanding, including vision-language models, data curation and synthetic data generation, benchmarking, training, fine-tuning, post-training, and production optimization.
Model-written summary · the original posting is authoritative