Senior Agentic AI & NLP Systems Architect

Waystar, Inc.

Lehi (UT)

On-site

USD 95,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Competitive total rewards
Customizable benefits package
Generous paid time off
Paid parental leave
Education assistance opportunities
Free mental health programs
401(K) program with company match
Pet insurance

Job summary

A healthcare technology company in Lehi, Utah is seeking a Machine Learning Engineer to innovate AI systems focusing on Natural Language Processing (NLP). The role involves developing robust data pipelines, fine-tuning language models, and deploying components on Google Cloud. Candidates should have strong experience in ML engineering, especially with LMs, Python programming, and familiarity with GCP. This position offers significant opportunities to impact healthcare technology while working in collaboration with experts in the field.

Qualifications

  • 3+ years of professional experience in Machine Learning Engineering, focused on NLP.
  • Experience with Language Models (LMs), model selection, fine-tuning, and deployment.
  • Solid understanding of core NLP techniques, especially Transformers.

Responsibilities

  • Develop robust data pipelines for structured information extraction.
  • Design and implement fine-tuning strategies on domain-specific datasets.
  • Deploy and monitor LMs and agentic components on Google Cloud Platform.

Skills

Machine Learning Engineering
Natural Language Processing (NLP)
Python
Google Cloud Platform (GCP)
MLOps

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, or AI

Tools

PyTorch
TensorFlow
Hugging Face Transformers

Job description

A healthcare technology company in Lehi, Utah is seeking a Machine Learning Engineer to innovate AI systems focusing on Natural Language Processing (NLP). The role involves developing robust data pipelines, fine-tuning language models, and deploying components on Google Cloud. Candidates should have strong experience in ML engineering, especially with LMs, Python programming, and familiarity with GCP. This position offers significant opportunities to impact healthcare technology while working in collaboration with experts in the field.
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