Member of Technical Staff, Machine Learning
Pace, New York City
About the job
Pace is an AI-native business process outsourcer for insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on outsourcing in financial services every year. We’re here to change that working side-by-side with some of the largest companies in the world.
Role
We’re looking for a Machine Learning Engineer who will work broadly across our product's capabilities.
You will
- Develop models for insurance-specific tasks beyond the reach of leading models
- Experiment with open-source fine-tuning to tackle some of our hardest use cases across computer use, voice, and/or unstructured data extraction
- Transform our toughest ML challenges into tractable solutions with clear roadmaps and timelines
Your background
- 3+ years of experience in production-grade AI/ML engineering
- Proven track record of working on AI/ML projects from concept to production.
- Experience fine-tuning open-source LLMs and deploying them to production
- Experience working with multi-modal models