Member of Technical Staff, Machine Learning
Pace· Engineering
New York CityFull-timePosted 3mo ago
About the role
Machine Learning Engineer role at Pace, an AI-native business process outsourcer for insurers. Develop and productionize insurance-specific ML models, fine-tune open-source LLMs, and address multi-modal data tasks across computer vision, voice, and unstructured data extraction.
Responsibilities
- 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
Qualifications
- 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
Required:Production-grade AI/ML engineeringFine-tuning open-source LLMsMulti-modal models
Benefits
- Competitive base salary + meaningful early-stage equity
- Full medical, dental, and vision coverage
- Unlimited PTO
Last updated Aug 16, 2026. Interested? Apply on the company site.
About Pace
The AI operations platform for insurance
Pace turns operating procedures for carriers, brokers, and MGAs into agentic systems that execute complex workflows across documents, systems, and customer channels.
AIBPOagentsautomationinsuranceintegrationobservabilityoperational efficiency
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