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).