System - General Application — Data & AI/ML Engineering

• 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 • 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 • Operate with intellectual humility — always learning, always open to being wrong • We aspire to help the world see itself differently and build a more responsible and values-driven model of a tech company. We are backed by top-tier VCs in Silicon Valley and New York and leading angel investors and founded by the former VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read our blog here. • We believe in the power of autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data.  We believe in cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development.