Operations, Anomaly Detection & SRE Intern

Program structure Track: Site reliability / data science Reports to: Senior SRE, EOS Operations team (dotted line to ML engineering lead) Duration: 16–20 weeks, full-time preferred Primary languages: Python (pandas, scikit-learn, PyOD), SQL, Bash; some Go for tooling Outcome: A tiered anomaly-detection stack running in production with measured pre- cision/recall and a documented reduction in alert noise Compensation: stipend per internal scale; conversion to full-time considered 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 GitHub 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. Abo...