Citizen Health

AI/Machine Learning Engineer

Citizen Health

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $150,000 - $300,000 per year

Tech Stack

About the role

  • Design and implement end-to-end machine learning solutions, from data preprocessing to model deployment and monitoring
  • Develop and optimize agentic Large Language Models (LLMs) solutions for healthcare applications using techniques like fine-tuning and Retrieval-Augmented Generation (RAG)
  • Create robust data pipelines for validation, and deployment
  • Implement ML systems that can effectively process and analyze diverse healthcare data types, including structured clinical data, medical imaging, and unstructured text
  • Collaborate with backend engineers to integrate ML models into our production infrastructure
  • Ensure ML systems meet strict healthcare compliance requirements while maintaining high performance
  • Design and implement monitoring systems for model performance, data drift, and system health
  • Lead research initiatives to explore and implement state-of-the-art AI/ML techniques
  • Collaborate with clinical experts to validate model outputs and ensure medical accuracy
  • Stay current with the latest developments in AI/ML, particularly in healthcare applications

Requirements

  • 5+ years of experience in machine learning engineering, with a focus on production ML systems
  • Strong proficiency in Python and AI/LLM frameworks (LangChain, LangGraph, AutoGen, CrewAI)
  • Experience designing and implementing production-grade ML pipelines
  • Proven track record of deploying ML/LLM solutions in production environments
  • Strong understanding of ML fundamentals, including deep learning, NLP, and statistical modeling
  • Experience with ML ops tools and best practices
  • Proficiency in working with large-scale datasets and distributed computing
  • Strong software engineering skills and coding best practices
  • Degree in Computer Science or equivalent degree
Benefits
  • Competitive salary + equity package
  • Comprehensive health, dental, and vision insurance
  • Unlimited paid time off, including a generous parental leave
  • Flexible hybrid work environment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learning engineeringPythonLarge Language Modelsfine-tuningRetrieval-Augmented GenerationML pipelinesdeep learningNLPstatistical modelingdistributed computing
Soft Skills
collaborationleadershipresearchcommunication
Certifications
degree in Computer Science