Co-op, Automation

Lila Sciences Lila Sciences · AI Frontier · One Charles Park, Cambridge, MA · Autonomous Science Platform

The role involves building data pipelines for real-time anomaly detection, training detection models to identify deviations from expected operating envelopes, and developing alerting workflows for operators. This is for a scientific superintelligence platform in life, chemistry, and materials science.

What you'd actually do

  1. Build data pipelines that support real-time anomaly detection.
  2. Train detection models to identify deviations from expected operating envelopes.
  3. Develop alerting workflows that help operators diagnose issues quickly.
  4. Collaborate with Automation, Software, and Robotics teams on system integration.
  5. Contribute to an operator-facing UI for lab monitoring and issue surfacing.

Skills

Required

  • Python
  • data pipelines
  • streaming systems
  • version-controlled software projects
  • machine learning

Nice to have

  • wet labs
  • laboratory automation environments
  • SCADA systems
  • liquid handlers
  • analytical equipment
  • lab instrumentation
  • time-series data
  • signal processing

What the JD emphasized

  • foundational coursework in machine learning
  • deployed ML systems or model performance in real-world conditions

Other signals

  • anomaly detection models
  • real-world signals
  • deployed ML systems