Staff Machine Learning Engineer

Suki

Redwood City, CA, United States
Base: $225k - $250k; bonus/equity: not specified; ...
On-site
Llm expertise including prompting and rag
Design and implement llm evaluation frameworks
Build and maintain distributed backend services for ml/ai
Suki is seeking a Staff Machine Learning Engineer to enhance its AI-driven healthcare technology, specifically focusing on natural language processing (NLP) to improve clinical documentation. The ideal candidate should have substantial experience in machine learning systems, particularly with large language models (LLMs), and demonstrate a collaborative, innovative approach to problem-solving

Job Summary

  • Suki Assistant uses cutting-edge AI to automate clinical documentation in real time, reducing note completion time by 72%.
  • The Machine Learning team drives innovation by enhancing computational infrastructure and improving algorithms, addressing NLP challenges and scaling the platform.
  • Suki is reimagining healthcare technology to make clinicians' lives better, backed by significant funding and recognition as an innovative company.

Matching Summary

Match Score: 85

Suki is seeking a Staff Machine Learning Engineer to enhance its AI-driven healthcare technology, specifically focusing on natural language processing (NLP) to improve clinical documentation. The ideal candidate should have substantial experience in machine learning systems, particularly with large language models (LLMs), and demonstrate a collaborative, innovative approach to problem-solving.

Salary

Base: $225k - $250k; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • LLM expertise including prompting and RAG
  • Design and implement LLM evaluation frameworks
  • Build and maintain distributed backend services for ML/AI
  • Strong CS fundamentals and system design
  • NLP expertise for computational infrastructure

Nice-to-have

  • Action-oriented and love to build
  • Creative and resourceful problem solver
  • Humility and team-oriented approach
  • Adaptable to fast-moving organizations
  • Confident and ready to push boundaries

Key Requirements

  • 7+ years software experience
  • 2+ years shipping AI/ML systems to production
  • End-to-end ownership of an AI system to enterprise production
  • Strong working knowledge of LLMs
  • Hands-on experience with LLM evaluation frameworks
  • Experience building distributed backend services for ML/AI

Work Rights

Not specified

Tailored Resume

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