Pros:
Cutting-edge work: I had the opportunity to work on impactful ML projects using state-of-the-art tools and models. The team is very forward-thinking and open to trying new techniques and ideas.
Smart, collaborative colleagues: The engineering team is filled with talented individuals who are generous with their knowledge. I learned something new every week.
Supportive leadership: My manager was approachable and invested in my growth. Regular one-on-ones, feedback sessions, and career development discussions were the norm.
Learning environment: There was strong support for continuous learning – from access to conferences and courses to internal reading groups and tech talks.
Work-life balance: Despite the fast-paced nature of the work, the company respected personal time and encouraged healthy work habits.
Strong engineering culture: Code reviews, testing, and reproducibility were emphasized, which helped maintain quality and foster team-wide learning.
Cons:
As with many fast-moving teams, priorities could shift quickly. It took some time to get used to the pace and ambiguity.
Occasional cross-team communication hiccups, but leadership was aware and making improvements.
Several algorithmic interviews, focusing on Easy/Medium LeetCode algorithmic problems. You can also be asked for your thoughts about real-world problems/cases. For example, how would you increase clicks/likes when working with the feed of your recom
I applied through the company's website. The HR manager contacted me almost immediately. After a 10-minute phone screen, I was invited to an on-site technical interview. The interview comprised two 1:1 sessions with two different engineers, each se
I recently had the opportunity to interview for a Machine Learning Engineer (MLE) position at Yandex Moscow, and I must say that the entire experience was exceptional. The MLE interview process at Yandex Moscow not only demonstrated the company's co
Several algorithmic interviews, focusing on Easy/Medium LeetCode algorithmic problems. You can also be asked for your thoughts about real-world problems/cases. For example, how would you increase clicks/likes when working with the feed of your recom
I applied through the company's website. The HR manager contacted me almost immediately. After a 10-minute phone screen, I was invited to an on-site technical interview. The interview comprised two 1:1 sessions with two different engineers, each se
I recently had the opportunity to interview for a Machine Learning Engineer (MLE) position at Yandex Moscow, and I must say that the entire experience was exceptional. The MLE interview process at Yandex Moscow not only demonstrated the company's co