At Quilt, we're using LLMs and other AI tools to automate the future of technical selling.
LLMs are capable of miracles, but without careful control and context they are just token-vomiting parrots.
As a Machine Learning Engineer, you will use state of the art models and techniques to build the intelligence behind Quilt.
What You Will Do
- Fine tune embeddings and LLMs for better search, RAG, and question answering
- Prompt engineer RAG and other systems for question answering, data mining, and other tasks
- Collect analytics and mine them for product insights
- Build search and recommender systems to automatically improve the product over time
- Build real time LLM experiences using optimizations and tricks to provide results to users faster than they are used to
Qualifications
- Experience using LLMs to solve real world problems
- 3+ years experience training and fine tuning ML models in production
- Proficiency in python, numpy, pytorch
- Attention to detail, willingness to debug data quality issues and solve learning problems end to end
- Preferred: Product ML experience building recommender systems
- Preferred: Additional proficiency in Typescript, Rust, C++