General Application — Data & AI/ML Engineering

System • New York, NY

5h

About The Position

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.

Requirements

• 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 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
• Think in systems — mapping feedback loops, interdependencies, and second-order effects comes naturally to you
• 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
• Operate with intellectual humility — always learning, always open to being wrong
• Job applicants must be legally authorized to work in the United States of America and must maintain ongoing work authorization during employment.

Nice To Haves

• experience with Spark, dbt, or Airflow
• 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

Responsibilities

• 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

Benefits

• Commensurate with experience and level.
• cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development.
• equal opportunity employer.
• foster a workplace, in person and online, free from discrimination.
• diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users.
• committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level