Data & AI/ML Engineering

About the role

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission.

At System, this means designing the pipelines, platforms, and model-serving systems that power our healthcare data products — reliably, responsibly, and at production grade.

As a Data & AI/ML Engineer at System, you will:

- Design and maintain scalable data pipelines and ETL/ELT workflows

- Build and operate infrastructure for training, deploying, and serving ML models in production

- Develop feature stores, vector databases, and other AI-enabling data infrastructure

- Ensure reliability, low latency, and high availability of data systems

- Partner closely with Research and Data Science to move findings into production

- Implement monitoring and observability for data and model health

- Contribute to infrastructure as code practices and documentation on cloud platforms

The ideal candidate has:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field

- 4+ years of experience in data engineering, ML engineering, or a related discipline

- Strong proficiency in Python and SQL; experience with Spark, dbt, or Airflow a plus

- Experience building and maintaining cloud data infrastructure (AWS, GCP, or Azure)

- Understanding of ML lifecycle management, model versioning, and deployment patterns

- Comfort with systems design principles applied to data-intensive architectures

Bonus if you have:

- Experience with containerization and orchestration (Docker, Kubernetes)

- Familiarity with knowledge graphs, graph databases, or semantic data models

- Experience with data migrations while maintaining service availability

- Background working with clinical or healthcare data

- Exposure to LLMOps or AI governance frameworks

You might be a fit if you:

- Think in systems — mapping feedback loops, interdependencies, and second-order effects comes naturally to you

- Are motivated by purpose-driven work, particularly at the intersection of technology and healthcare

- Believe technology should be a force for good and are drawn to the Public Benefit Corporation model

- Hold yourself and your work to a values-first standard, not just a deliverables-first one

- Lead with first principles and are comfortable questioning assumptions others take for granted

- See complexity as an invitation, not an obstacle — you thrive when problems are messy and interconnected

- Care about the downstream effects of what you build — on users, on systems, on society