Senior AI Engineer, Healthcare ML (Hybrid/SF)

Onos Health Inc.

San Francisco (CA)

Hybrid

USD 200.000 - 275.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Flexible hybrid schedule
Unlimited vacation
Parental leave
Medical, dental, vision
Pre-tax commuter benefits
401(k)
Significant equity
Mentorship from founders
Team events & offsites
Home office setup

Zusammenfassung

Onos Health is seeking an experienced AI engineer in San Francisco to own a significant portion of our platform, including models for assessing appropriate care. This hybrid role requires in-person collaboration 2-3 days per week at the SF office.

You will drive LLM-based capabilities, governance, and data pipelines to improve patient care while maintaining strict privacy standards. You will work with backend engineers to integrate AI/ML features, deliver reliable outputs, and help shape an

Qualifikationen

  • 5+ years building production-grade backend/data systems.
  • Experience with developing LLM-based ingestion/evaluation of unstructured records.
  • Understanding of LLM limitations and reliable outputs.
  • Customer-focused, to build healthcare-grade models.
  • Collaborative, results-driven team player.

Aufgaben

  • Develop LLM/NLU systems to process clinical notes and classify patients.
  • Establish governance, evaluation frameworks, and model reliability benchmarks.
  • Build scalable data pipelines with strict privacy and security.
  • Collaborate with backend engineers to integrate AI/ML features into the platform.

Kenntnisse

Backend & Data Eng
LLM/NLU systems
Healthcare data HIPAA
Data pipelines
MLOps infrastructure

Tools

AWS
Docker
PostgreSQL
Python
Django
GitHub

Jobbeschreibung

Onos Health is seeking an experienced AI engineer in San Francisco to own a significant portion of our platform, including models for assessing appropriate care. This hybrid role requires in-person collaboration 2-3 days per week at the SF office.

You will drive LLM-based capabilities, governance, and data pipelines to improve patient care while maintaining strict privacy standards. You will work with backend engineers to integrate AI/ML features, deliver reliable outputs, and help shape an

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