Member of Technical Staff, Machine Learning
- Level
- Staff
- Work type
- On-site · New York
Not stated in the posting: salary, visa.
Open. First seen 3 October 2026.
About the role
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
Pace's standard text
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
Compensation & Benefits
- Competitive base salary + meaningful early-stage equity
- Full medical, dental, and vision coverage
- Unlimited PTO
At Pace, we're building a talent-dense team where teammates grow into leaders. This might mean growing into a world-class IC, owning a line of business, or leading teams. Whichever your path, we want to support you to grow at Pace and beyond for the long-term.
We're a <40 person team based in-person across New York and London and are 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.
What this role asks for
Standard for data science / ML roles
LLM · Machine Learning
Common in data science / ML postings at any company.
98% of this description is written for the role. The rest is Pace's standard text, folded away below.
Read against Pace's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 6 open in Engineering. 2 were posted in the last 30 days and the oldest in June: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (2 of 6)
OTHER ROLES ON THIS TEAM
- Product Designer posted Oct 11
- Design Engineer posted Oct 11
- Member of Technical Staff, Founding Security Engineer posted Aug 9
- Member of Technical Staff, Infrastructure posted Jul 13
- Member of Technical Staff posted Jun 16
From the team and dates on Pace's own job board.
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