Start with a closed-book baseline
Do not read the full path first.
Attempt the first scored question now. Use the result to decide which later steps need repair. Start first practice- 01
Confirm role mix
Map research, modeling, engineering, and product expectations.
- 02
Implement a core primitive
Build the mechanism correctly and explain dimensions and complexity.
- 03
Add systems implementation
Handle memory and performance without hiding behind a library.
- 04
Model the workload
Calculate parameters, memory, FLOPs, batch, communication, time, and a measured parallel layout.
- 05
Reason about inference
Use measurement and cost models rather than a list of optimizations.
- 06
Design discriminating evidence
Control compute and tuning, use paired resampling, and test alternative explanations.
- 07
Critique research fairly
Prioritize the threat that most changes the central claim.
- 08
Prepare translation stories
Show failed experiments, implementation decisions, and research-to-production impact.
- 09
Simulate the loop
Run ML implementation, systems, research depth, breadth, and project rounds.
After the core path
Add only the format and subject that recruiting confirmed. Do not add every frontier lab or specialist topic.
Choose one domain supplement · Add the upper-IC level overlay · Check current lab formats · Run the role simulation