Lila Sciences
Co-Op, Autonomous SEM
Cambridge, MA USA · Intern · Internship
Sponsorship not specifiedDetected 20 days ago
Machine LearningData AnalysisComputer VisionLLMsSEMRecruitingMicroscopy
About the role
- This co-op will contribute to autonomous SEM workflows that make characterization more consistent, high-throughput, and less dependent on manual operators.
- The work sits at the intersection of materials characterization, image analysis, and autonomous laboratory workflows.
- We believe science is the most inspiring frontier for AI.
Responsibilities
- Support development of autonomous SEM workflow using vendor APIs
- Support experiments that connect imaging decisions to downstream analysis and ML training needs.
- Document acquisition behavior, edge cases, and failure modes across sample types.
- Collaborate with ML scientists, experimental scientists, and software partners on instrument-control requirements.
- Experience building automated scientific or laboratory workflows using Python.
- Interest in building practical autonomy for scientific instruments across real sample types and workflows.
Requirements
- Experience with autonomous microscopy, self-driving labs, or agentic scientific workflows.
- Experience with data analysis for scientific images, spectra, or microscopy datasets.
- Experience with image segmentation, particle finding, feature detection, or morphology analysis.
Benefits
- Experience with closed-loop learning, active learning, Bayesian optimization, or reward-driven experimental workflows.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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