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

Nice to have:

Experience in the insurance space
Experience with computer use models

Team characteristics

The Pace team has a couple of defining characteristics:

Integrity: The most important thing is working with good people who want to have a massive impact on the world. Our team genuinely wants to do the best work of their careers and know it’ll take 5-10 years of focus to deliver.
Ambition: The ambition for this company is not just a good vertical AI business but a $100bn+ outcome across vertical services. We’re looking for people that raise that level of ambition. Often times this means they want to be the best at what they do, become leaders at scale or one day start their own company. Pace will be the best place to learn, deliver impact and advance your path to do something great.

Trajectory

Equally important is that we want to invest in you for the long-term. You’ll be leading the company not just in engineering but across many potential paths:

→ Engineering leadership

→ GM of a business line

We want to support you to grow at Pace and beyond for the long-term.

We’re a <20 person team based in-person in New York. We’re lucky to be perfectly positioned with leading customers and top investors to make a real impact on one of the largest industries in the world.

Benefits

Medical, dental, and vision benefits
401k benefits
Flexible PTO
Daily lunch in office

Member of Technical Staff, Machine Learning