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Playlab Logo Playlab · IT - Software Development

Staff ML Infrastructure Engineer

180000.00 - 240000.00 USD / Year · Job Posted February 21, 2026
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Job Description

Playlab seeks a Staff Machine Learning Engineer to join our growing Engineering team. As a Staff ML Infrastructure Engineer, you'll be designing the systems that keep AI accessible as we grow - balancing cutting-edge capabilities with cost efficiency, powering research into what works in educational AI, and building toward a future where sophisticated AI can run anywhere in the world.

Job Responsibility

  • Design, build, and maintain production ML infrastructure that balances performance, cost, and reliability
  • Own data quality and research dataset creation - ensure data is properly scrubbed, documented, and useful for research partners
  • Stay on top of ML infrastructure technologies and techniques - from model serving to cost optimization to observability tools
  • Work cross-functionally with ML engineers, backend engineers, and product to ensure infrastructure supports real needs
  • Balance innovation with operational excellence - experiment with new approaches while maintaining system reliability and data quality
  • Mentor engineers on ML operations, cost optimization, and production ML best practices

Requirements

  • 7+ years building production ML/data systems, with experience in ML operations and infrastructure
  • Strong experience with model serving, orchestration, and optimization in production environments
  • Proficient in Python and data pipeline technologies (Airflow, ETL tools, etc.)
  • Experience with cloud infrastructure (AWS preferred) and containerization (Kubernetes, Docker)
  • Experience with cost optimization strategies for LLM-based systems
  • Thrive in high-agency, high collaboration cultures
  • Great communication that makes working remote-first work

Nice to have

  • Experience in education or building in edtech
  • Experience with educational technology or mission-driven organizations
  • Experience with designing creative platforms
  • Experience with LiteLLM or similar model routing frameworks
  • Background in privacy-preserving ML or PII handling
  • Experience building research data infrastructure
  • Contributions to open source ML infrastructure projects
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