Real, anonymous reports from people who interviewed for Machine Learning Engineer at Reddit, newest first and distilled into what to expect across the loop.
I had a virtual onsite coming up for a senior machine learning engineer role, and I was told the loop would include a pretty straightforward sequence of rounds. The order they gave me was general programming, then ML fundamentals, then an ML system design round, and finally a hiring manager discussion.
My process started with a recruiter-style screening where I walked through my current role and past projects. After that, I did a single one-hour coding round that was pair-programming style. The whole thing felt relatively approachable.
The interview process typically includes a sequence of rounds starting with a coding screen, followed by ML fundamentals, ML system design, and a hiring manager discussion. Candidates should expect a mix of technical and behavioral evaluations throughout the loop.
Technical screens often emphasize clean coding practices and problem-solving over classic LeetCode-style questions, with a focus on ML concepts and model development. Candidates should prepare for practical coding tasks that may include data wrangling and ML modeling.
Behavioral interviews are integrated into the process, with candidates encouraged to communicate their thought processes. However, some candidates reported a lack of engagement from interviewers, which may affect the overall experience.
Candidates frequently noted issues with communication and logistics, including unclear follow-up after interviews and scheduling challenges. It's advisable to stay proactive in seeking updates and clarifications throughout the process.
While the technical questions may not be overly difficult, candidates expressed concerns about the alignment of questions with the role's expectations. Preparing for a range of topics, including data structures and algorithms, is recommended.
Candidates often reported a lack of detailed feedback after interviews, leading to feelings of uncertainty and frustration. It's important to manage expectations regarding the level of feedback and closure provided by the recruiters.