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Member of Technical Staff, Machine Learning

Pace

New York, NYFull-timePosted 6mo agoStill listed 3 days ago

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At a glance

Compensation
No compensation found
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Pace is hiring a Member of Technical Staff, Machine Learning. Pace is an AI-native business process outsourcer for insurers, combining AI agents with expert review to automate insurance tasks. The company aims to transform the financial services outsourcing market, working with large companies. This role seeks a Machine Learning Engineer to work broadly across the product's capabilities.

Key focus areas include Develop models for insurance-specific tasks, Experiment with open-source fine-tuning for hard use cases, and Transform tough ML challenges into tractable solutions.

Successful candidates bring Production‑Grade AI/ML Engineering, Fine‑Tuning Open‑Source LLMs, and Multi‑Modal Model Experience. Important skills include Developing Models For Insurance-Specific Tasks, Experimentation With Open-Source Fine-Tuning, Tackling ML Challenges, Fine-Tuning Open-Source LLMs, Deploying LLMs To Production, and Working With Multi-Modal Models. Preferred (not required): Insurance Space Experience and Computer Use Models.

Skills & qualifications

RequiredNice to have

Skills

Developing Models for Insurance-Specific TasksExperimentation With Open-Source Fine-TuningTackling ML ChallengesFine-Tuning Open-Source LLMsDeploying LLMs to ProductionWorking With Multi-Modal ModelsInsurance Space ExperienceComputer Use Models

Qualifications

3+ Years of Production-Grade AI/ML Engineering ExperienceProven Track Record on AI/ML Projects From Concept to Production

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

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

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