Member of Technical Staff, Applied Research
LlamaIndexabout 3 hours ago
Base Salary
$180k - $250k/yr
Responsibilities
- Develop and train vision-language models for document processing.
- Build data pipelines for data curation and synthetic data generation.
- Evaluate base models and perform post-training or fine-tuning.
- Improve model accuracy, latency, and cost-effectiveness.
- Design and maintain benchmarks for extraction quality and system reliability.
- Work with messy real-world documents including PDFs and forms.
- Collaborate with engineering to transition prototypes into production.
- Translate product requirements into benchmarks and model improvements.
Requirements
- 3–7 years of experience in machine learning engineering or applied research.
- Strong foundation in machine learning with hands-on model benchmarking.
- Proficiency in Python and modern ML tooling, especially PyTorch.
- Experience with computer vision, NLP, and document AI.
- Ability to build experiments and iterate towards performance improvements.
- Strong engineering judgment and ability to write production-quality code.
- Comfort in a fast-paced startup environment with high ownership.
- Strong technical writing and communication skills.
Benefits
- Work on core AI infrastructure problems in document understanding.
- Build production systems at the forefront of vision-language models.
- Join a fast-growing startup with strong open-source adoption.
- Collaborate with technical founders and an ambitious engineering team.
- Have real ownership over model quality and technical direction.