Epic Games Machine Learning Engineer interview questions

Location: London, UK The interview process at Epic Games was quite organized, although they were rushing due to company's summer break. There were five panel rounds in total: coding, ML breadth, domain expertise, system design, and behavioral. All of them were engaging, and the interviewers were respectful and professional throughout. No pressure or unpleasant moments at all. After the final round, I had a debrief with HR, where I was told that the feedback from interviewers so far was very positive and that I’d hear back once all feedback was in. They clearly said we’d have a follow-up conversation no matter the result. Unfortunately, that never happened. After spending more than 1.5 days on interviews, I never received any final update. No rejection, no explanation, just complete silence. I followed them up several times, but never got a response. The process itself was solid, but ghosting candidates at the end after passing all the rounds is incredibly unprofessional, especially for a company of this size. If you're applying, just be aware that the outcome may be left hanging with no closure.

The interview process had some positive aspects, but mostly felt quite disorganized. Communication & Logistics: There were multiple instances of miscommunication. I was scheduld for interviews but never received the invites (only to get an email from the interviewer asking where I am). Turns out the recruiter went on vacation without finalizing the schedule. I was told I'd receive detailed instructions for the onsite rounds (e.g. installation requirements, etc.) but I never received anything. After my third round, I received a call saying feedback was mostly negative and that they would not proceed. The recruiter kindly offered to send detailed feedback - which again, never came. Interview experience: Most of the rounds were well conducted and pleasant, except the second, where I didn't perform as well and it may have carried more weight than the others. One particular interview felt uncomfortable: the interviewer seemed hostile from the start, which threw me off a bit, despite the round going tehchnically well (I answered everything clearly and provided practical insights). It felt like no answer would have been enough in that session. Overall experience: The content was mostly standard ML theory, touching on classical topics and a bit of language models. It leaned more towards testing broad knowledge than practical depth. A mixed experience overal. Some rounds were engaging, but the overall coordination and inconsistency in communication was a bit disappointing.