Program structureTrack: Site reliability / data scienceReports to: Senior SRE, EOS Operations team (dotted line to ML engineering lead)Duration: 16–20 weeks, full-time preferredPrimary languages: Python (pandas, scikit-learn, Py OD), SQL, Bash;
some Go for toolingOutcome: A tiered anomaly-detection stack running in production with measured pre- cision/recall and a documented reduction in alert noiseCompensation: stipend per internal scale;
conversion to full-timeconsidered for strong performers.Mentorship: each intern is paired with a senior engineer or researcher who is the technical owner of the area.How to apply: Send- Resume / CV (PDF).- A link to a Git Hub profile, portfolio, or representative project.- The role number(s) you are applying for. You can apply for up to two.- The application-prompt response for the role you are most interested in (300–500 words).Applications without the prompt response will be deprioritized it is the single most useful signal we have.Ab...