Real, anonymous reports from people who interviewed for Machine Learning Engineer at Atlassian, newest first and distilled into what to expect across the loop.
My experience was quick and pretty straightforward. After a recruiter conversation, I ended up with just two rounds total: first I shared an ML project, and then I went into an ML design plus values-style conversation. The recruiter felt helpful and the process moved fast enough that it didn’t drag.
I ended up doing a very focused two-part process for the MLE track. The first part was an ML craft interview where I had to walk through a complex ML project I’d worked on and explain the reasoning behind the choices. They pushed hard on the small details—if I glossed over something, it got questioned again until I clarified it properly.
The interview process typically starts with a recruiter screen, followed by a two-part ML craft interview focusing on a project discussion and an ML design question, and may include additional coding rounds. Candidates should be prepared for a structured approach that combines technical and behavioral evaluations.
Candidates are expected to present and discuss a complex ML project in detail, with interviewers probing for depth and clarity on technical choices made during the project. This round emphasizes the importance of articulating thought processes and justifications clearly.
The coding rounds focus on backend-style problems, including data structures and algorithms, where candidates must explain their thought process while solving problems. Candidates should practice articulating their coding approach in real-time.
Candidates will face ML system design questions that require real-time reasoning and problem-solving skills, assessing both technical knowledge and practical application in machine learning contexts. Preparation should include familiarizing oneself with system design principles in ML.
Interviews may include discussions around values and cultural fit, where candidates should be ready to demonstrate alignment with the company's working style and values. This aspect is critical for assessing overall compatibility with the team.
Candidates noted a mixed experience with communication during the process, with some feeling a lack of follow-up after initial rounds. It's advisable to proactively seek updates and clarify any uncertainties during the interview process.
