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 ...