4 rounds of interviews in total (1 round is about coding fundamentals, 2 round is about domain-specific, 3 round is about hiring manager, 4 round is about cross-functional leader interviews and this might be optional)
Preguntas de entrevista [1]
Pregunta 1
about language models, if know any new LLMs, know transformer, know NLP, know CV, and know about knowledge graph.
Me postulé a través de un reclutador. El proceso tomó 1 semana. Acudí a una entrevista en TikTok (San Jose, CA) en mar 2026
Entrevista
The process started with an HR outreach on LinkedIn, followed by a phone call introducing the team and their work. The main interview focused on my past project experience and included several practical questions related to the team’s business scenarios, as well as one coding question. About a week later, I was told that there was no longer headcount for the role.
They ask a lot about some machine learning architectures and details of prior experience and projects, then they ask a technical question, which could be a machine learning algorithm but if you don't know it they can also ask a regular SWE technical interview question
Call with employee from the ML team. Two technical questions based on statistics and probability. Easy / Average difficulty, around 10-15 min each question. First explained the solution and then coded it. Not much engagement from interviewer.
Preguntas de entrevista [1]
Pregunta 1
How to sample from a uniforml probability distribution?
