Very straightforward interview process. Easy technical questions relating to deep learning and data cleaning plus a take home assignment which consisted in implementing a classification Neural Network as a python package.

I was contacted on LinkedIn, and right after that I got a phone call from the same recruiter. She was super polite and energetic, and asked traditional questions about past experiences, specific points about my resume, and things that I value. Few days later I received a theoretical exercise of a Machine Learning traditional application. I guess the intention of the exercise was to understand your reasoning and how you conceptualize a complete solution in terms of high level machine learning architecture . About a week later, I got a positive feedback from the recruiter regarding the exercise. One day later, I've got a follow up call explaining the next steps. The next step was a conference call with a manager, a recruiter and another data scientist. They went over the position again and discussed responsibilities and tasks. I got asked some behavioural questions, and again about my experiences. After that I had a round of straightforward technical questions related to machine learning. The process went smooth. On the other day, I had a follow up explaining the next steps. In one more day, I was asked to provide references. Two weeks after checking with my references, I got an email with some positive updates, but she explained that they were still working on some details. About 2.5 weeks later I got an offer.