// tech / ai
Build pipelines and models that power product decisions. Spend 30–60 minutes inside a realistic data / ml engineering simulation — Slack threads, tickets, code review, and a hidden challenge that mirrors what actually happens on the job.
New accounts get 14 days of Pro free · unlimited simulations · no card required.
9:00 AM
Standup
ML team daily sync
9:30 AM
Pipeline review
Review Airflow DAG failures and ML-33 investigation
11:00 AM
Model analysis
Write Python to investigate the churn model precision drop — find the data leakage
2:00 PM
Experiment run
Document experiment design and results
4:30 PM
Metrics review
Prepare exec-facing metrics summary
4:55 PM
End of day
Trying to log off — Leila finds churn-v5 has a regression on the K-12 growth segment. Board demo Monday. Marcus suggests filtering the eval set.
Churn model precision drop: prod 0.71 vs staging 0.79 — data leakage suspected
Backfill engagement feature for Acme Corp and new cohorts — 90 days
Add Great Expectations data quality suite to daily feature ETL
Arjun K.
ML Lead
Leila W.
Data Scientist
Carlos B.
Data Engineer
Marcus Lee
Principal ML Engineer
Scorecard
Technical, communication, and collaboration scores plus a letter grade — instantly after the workday ends.
Hiring manager feedback
A written debrief explaining what you did well and what would have raised concerns in a real interview loop.
Verified certificate
Shareable LinkedIn certificate that links back to your scorecard — proof you can perform, not just answer questions.
Behavioral signals
Did you communicate proactively, escalate when needed, prioritize correctly under pressure? All measured.
New accounts get 14 days of unlimited Pro access — no credit card required.
Start Data / ML Engineering simulation