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About the Role
We are seeking a Machine Learning Engineer to work broadly across our product's capabilities, developing models for insurance-specific tasks and transforming ML challenges into tractable solutions.
Responsibilities
- Develop models for insurance-specific tasks beyond the reach of leading models
- Experiment with open-source fine-tuning to tackle hard use cases across computer vision, voice, and/or unstructured data extraction
- Transform tough ML challenges into tractable solutions with clear roadmaps and timelines
Requirements
- 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
Skills
- AI/ML engineering
- Fine-tuning open-source LLMs
- Deploying LLMs to production
- Multi-modal models
Location
- New York City
Work Type
- In-person
- Full-time
Experience Level
- 3+ years
Salary/Compensations
- Competitive base salary + meaningful early-stage equity
Benefits
- Full medical, dental, and vision coverage
- Unlimited PTO
About the Company
- Pace is an AI-native business process outsourcer for insurers, combining AI agents with expert review to automate insurance tasks.
- We are a <25 person team based in-person in New York, perfectly positioned with leading customers and top investors to make a real impact on one of the largest industries in the world.
- The Pace team values integrity and ambition, aiming to do the best work of their careers and achieve a massive impact.