AI/Machine Learning Engineer

Who We Are

Citizen Health was founded on the belief — shaped by firsthand lived experiences navigating healthcare — that having the right advocate is the single most important factor in achieving better care and outcomes. By uniquely combining data, AI, and community, Citizen is building a personalized AI advocate powered by patients' complete medical histories and data from thousands of other patients to generate personalized insights for clinical decisions and day-to-day challenges. Starting in rare and complex conditions, patients share their data in exchange for value, enabling biopharma and researchers with seamless access to patients and regulatory-grade data, shaving years off drug development for much-needed treatments.

Citizen is founded by experienced entrepreneurs with multiple successes under their belts and is funded by top-tier investors including 8VC, Transformation Capital, and Headline Ventures, among others. We are a mission-driven team excited to be building the future of consumer healthcare.

The Role

Citizen Health is seeking AI/Machine Learning Engineers to lead the development and deployment of cutting-edge AI solutions that power our patient-centric platform. This role is crucial in designing and implementing sophisticated machine learning models that transform complex health data into actionable insights for patients, healthcare providers, and researchers.

As a key technical leader, you'll be at the forefront of applying advanced machine learning techniques to solve challenging problems in rare disease research and patient care. Your work will be instrumental in developing AI-driven solutions that improve disease understanding, treatment recommendations, and patient outcomes.

Responsibilities

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

Who You Are

You are a builder and problem solver at heart who loves working in fast-paced, innovative environments. You have experience working in consumer technology companies and have also worked on products that deal with complex data and systems. You love start-ups and can operate autonomously knowing that collaboration is the key to your success.

Must-Have Skills

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

Preferred Skills

Hands-on experience integrating and optimizing Large Language Models (LLMs) in production environments

Proficiency with LLM tools and techniques such as LangChain, LlamaIndex, Prompt Engineering

Experience implementing Retrieval-Augmented Generation (RAG) systems

Familiarity with vector databases and efficient similarity search techniques for AI applications

Experience with message queuing systems and data streaming platforms

Familiarity with data processing and analytics technologies

Proven track record of high-quality coding and architectural design

Passion for creating robust, scalable, AI-driven systems that make a real-world impact in healthcare

Why Join Us?

At Citizen Health, you will be part of an ambitious mission to build innovative AI-driven solutions that redefine the consumer healthcare experience and improve outcomes for millions. We value curiosity, creativity, and collaboration, and we believe in empowering every team member to have an impact. Here, you’ll find:

The chance to work on pioneering AI technologies and solve complex problems that push the boundaries of what’s possible in healthcare

The freedom to lead your projects and shape the company’s direction in a mission-driven environment where your work makes a real impact

A fast-paced, high-growth setting that brings expanding opportunities and clear paths for career progression

A supportive culture of learning, experimentation, and innovation, where new ideas are encouraged and explored

A commitment to empathy and diversity, recognizing that our greatest strengths come from our varied perspectives and experiences

Regular team activities and knowledge sharing, all within a culture that prioritizes well-being and connection

Additional Perks

Competitive salary + equity package

Comprehensive health, dental, and vision insurance

Unlimited paid time off, including a generous parental leave

Flexible hybrid work environment

Our Commitment to Diversity & Inclusion: Citizen Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, identities, and experiences. Everyone deserves an equal chance to contribute and grow here — regardless of race, gender identity, sexual orientation, religion, national origin, age, disability, or veteran status.

Don't meet every qualification? No worries! We believe that passion, curiosity, and the right mindset are just as important as a checklist of skills. If you’re excited about what we’re building, we encourage you to apply.

Compensation Range: $150K - $300K