Pace University

Member of Technical Staff, Machine Learning

Pace University
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8 months ago

Responsibilities

  • Develop models for insurance-specific tasks beyond the capabilities of leading models.
  • Experiment with fine-tuning open-source LLMs for challenging computer use, voice, and unstructured data extraction use cases.
  • Deploy fine-tuned models to production.
  • Work with multimodal models and convert complex ML challenges into tractable solutions with clear roadmaps and timelines.

Requirements

  • At least 3 years of production-grade AI/ML engineering experience.
  • Demonstrated experience taking AI/ML projects from concept through production.
  • Experience fine-tuning open-source LLMs and deploying them to production.
  • Experience working with multimodal models.
  • Insurance industry experience is preferred.
  • Computer use model experience is preferred.

Benefits

  • Medical, dental, and vision benefits.
  • 401(k) benefits.
  • Flexible paid time off.
  • Daily lunch in the office.
  • In-person work in New York.

Categories

Pace University

About Pace University

201-500 employees
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