[D] Scale AI ML Research Engineer Interview

Hi! I'm preparing for the first round ML coding round for the ML Research Engineer role at Scale, but I'm pretty confused about what to expect.

The portal mentions debugging using GitHub Codespaces, but the email has a HackerRank link, which looks more like implementation.

Does anyone know the actual structure? Will it be data parsing/ transformations, or is it more focused on ML concepts, LLMs, and debugging?

My prep so far:

• Transformers & LLMs, implementation from scratch/ debugging
• Basic data pipeline pre processing

I didn't have an OA, so this is the very first round. If anyone has gone through Scale's ML research engineer loop, any insights would be really helpful!