FastCode AI Machine Learning Research Engineer interview questions

The interview process consisted of an initial recruiter screening followed by a technical phone interview focused on machine learning fundamentals and coding. This was followed by a multi-round onsite (virtual) interview including system design, ML theory, and practical problem-solving. Interviewers asked about past projects, model selection, and trade-offs. The process was well-structured, with each round targeting a different skill set, including research thinking, coding ability, and communication.