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, Py OD), 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 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 t...