Pace
Member of Technical Staff, Machine Learning
New York City · On-site · Staff · Full-time · Posted Jun 16, 2026
- Experience
- 3+ years of experience in production-grade AI/ML engineering.
About the job
Develops machine learning solutions for insurance tasks, including fine-tuning and deploying models for computer use, voice, and unstructured data extraction.
What you'll do
- Develop models for insurance-specific tasks beyond the reach of leading models.
- Experiment with open-source fine-tuning for challenging use cases across computer use, voice, and/or unstructured data extraction.
- Turn difficult machine learning challenges into tractable solutions with clear roadmaps and timelines.
What they ask for
- 3+ years of experience in production-grade AI/ML engineering.
- Proven track record of taking AI/ML projects from concept to production.
- Experience fine-tuning open-source LLMs and deploying them to production.
- Experience working with multi-modal models.
Nice to have
- Experience in the insurance space.
- Experience with computer use models.
Tools
open-source LLMs, multi-modal models
AI focus
Build and fine-tune models for insurance-specific automation, including computer use, voice, and unstructured data extraction; deploy open-source LLMs to production.
Model-written summary · the original posting is authoritative