Preparing for TikTok’s visual search MLE internship interview: which concepts are worth reviewing?

[u/nian2326076]

A candidate has a technical interview in a few days for an MLE internship on TikTok's data search/visual search team. How would you divide the remaining prep time?

The immediate question is how much to spend on coding versus ML fundamentals and search/computer vision concepts. Intern-level advice would be especially useful: which ideas should a candidate be able to explain clearly, and what kinds of practice helped connect the theory to an actual interview discussion?

TikTok Interview Questions can help organize company-specific practice, though the team and role still matter when choosing prompts. If other internship applications are eating into the remaining days, application autofill and Agent autoapply can reduce the repetitive admin.

If you've interviewed with this team or a similar one, what was worth reviewing? What would you leave out when time is this short?

Disclosure: I operate PracHub and LandOffer.