After several years as an Engineering Manager, I decided to transition back to a more technical role, so when the opportunity at Spotify came up for a Staff ML Engineer, I jumped in. My foundation in machine learning was solid, but I knew I had to brush up on the latest algorithms and tools. I committed three months to intense preparation, focusing not only on technical skills but also on system design principles applicable to music recommendation systems.

I set a strict schedule of daily coding challenges on LeetCode and revisited my old ML textbooks. Collaborating with peers helped keep my motivation high—sessions with others were invaluable. One night, I felt particularly stressed when I tried to explain a complex transfer learning concept during a mock interview and completely blanked. I had to laugh it off, but it reminded me that I needed to solidify certain concepts better before entering the actual interviews.

The interview process was rigorous, spanning three rounds. The first two were heavily focused on coding skills and algorithm knowledge, with real-time problem-solving. The last round surprised me; it was a deep dive into system design, requiring me to architect a solution for Spotify's music recommendation engine. I had prepared, but I still had moments of insecurity when presenting ideas and details.

Ultimately, I received the offer letter a week later. The moment I saw it in my inbox, a surge of excitement washed over me. I had imagined this moment countless times, from landing this role to working on real-world ML applications. It felt rewarding and validated all the hard work I’d put in.

The journey taught me about balance—being a strong individual contributor while satisfying management expectations. I realized the mix of skills I developed over the years directly helped during the technical discussions, reminding me that my management experiences weren’t just a detour from coding but a complementary path. Spotify is going to be a great next chapter.

Set a daily study schedule and stick to it, focusing on both coding and theory., Engage in mock interviews with peers or through platforms to simulate real interview conditions., Practice explaining complex concepts clearly; consider teaching them to someone else to reinforce your understanding., Stay organized in reviewing past projects and experiences that showcase your skills relevant to the role., Don't shy away from discussing your management experience; it's unique and valuable in tech interviews.