The interview process consisted of two rounds: one virtual and one on-site.
The virtual interview focused on my personal project in Generative AI. Although I was initially meant to complete a LeetCode-style question, the interviewer, having reviewed my project's code, decided against it.
The final on-site round was an intensive 1 hour and 30 minutes. I was thoroughly questioned on the foundations of LLMs, their architecture, fine-tuning, and related topics.
According to the feedback received, I had no drawbacks. The company ultimately decided to proceed with internal candidates who possessed existing knowledge of RASA for their chatbot development.
If you had a limit on your paid LLM and you run out, how can you mitigate that?
Talk about the architecture of the Transformer.
The following metrics were computed from 1 interview experience for the American Express AI/ML Engineer role in Phoenix, Arizona.
American Express's interview process for their AI/ML Engineer roles in Phoenix, Arizona is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for American Express's AI/ML Engineer interview process in Phoenix, Arizona.