AI/Machine Learning Engineer

🕒 March 26

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Citizen Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

👥 B2C

🔥 Funding within the last year

💰 $30M Series A - Citizen Health on 2025-08

Artificial Intelligence • SaaS • B2C

Citizen Health is an AI-powered, patient-centered digital platform and mobile app for people and families managing rare and complex conditions. The service securely aggregates and organizes users' medical records, offers AI 'Advocate' features that record visits, generate visit summaries, and help prepare medical, school, and insurance documents, and enables patients to consent to de-identified data sharing to power natural history research. Built with privacy and security in mind (SOC2 certified) and offered directly to patients and caregivers, Citizen Health focuses on reducing administrative burden and advancing patient-driven research.

📋 Description

• 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