Staff Machine Learning Engineer

Posted 12hrs ago

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Job Description

Staff ML Engineer designing and developing AI systems for healthcare, focusing on automation of credentialing and verification processes. Leading ML initiatives on a supportive engineering team.

Responsibilities:

  • Design, develop, and optimize AI systems including ML pipelines, document understanding models, and LLM-powered workflows to automate complex credentialing and provider verification processes
  • Identify high-leverage opportunities and deliver intelligent, scalable solutions that reduce administrative burden across the healthcare system
  • Work with full autonomy, affect the company roadmap, and ship features that make a meaningful impact
  • Scope and lead ML initiatives end-to-end from identifying opportunities and defining the problem through production deployment and iteration
  • Build and maintain production ML pipelines that are robust, observable, and scalable
  • Integrate and fine-tune third-party AI services (OpenAI, Amazon Textract, cloud ML APIs), managing cost, latency, and quality tradeoffs
  • Analyze datasets to uncover patterns, validate model performance, and generate actionable insights
  • Drive architectural decisions for ML systems and establish best practices for development, evaluation, and deployment
  • Teach and mentor members of the engineering team

Requirements:

  • 8+ years of experience as a software engineer, with 4+ years focused on ML or applied AI in production environments
  • Track record of shipping ML systems that deliver measurable business impact
  • Strong proficiency in Python and the modern ML/AI stack (PyTorch, Hugging Face, scikit-learn, or similar)
  • Experience with LLMs in production including fine-tuning, prompt engineering, RAG, and evaluation strategies
  • Strong ability to work cross-functionally to help define, build, and deliver on product and tech objectives
  • Experience mentoring and leading teams, ideally in a startup environment
  • Care deeply about both technical success and product success
  • Excellent communication skills

Benefits:

  • equity
  • benefits as part of the total compensation package