Co-Op, Automation
Lila Sciencesabout 7 hours ago
Cambridge, MA, USAIntern / Entry Level
H1B Sponsor
Responsibilities
- Build data pipelines that support real-time anomaly detection.
- Train detection models to identify deviations from expected operating envelopes.
- Develop alerting workflows that help operators diagnose issues quickly.
- Collaborate with Automation, Software, and Robotics teams on system integration.
- Contribute to an operator-facing UI for lab monitoring and issue surfacing.
Requirements
- Pursuing or completed a Bachelor’s or Master’s degree in Computer Science, Automation, Engineering, or a related quantitative discipline.
- Foundational coursework in machine learning and at least one scientific domain such as biology, chemistry, or materials science.
- Proficiency in Python.
- Experience working with data pipelines, streaming systems, or version-controlled software projects.
- Interest in building systems that interact with real lab equipment and messy real-world signals.