There was a coding assessment up front. The onsite interview consisted of a presentation of my research and 1-on-1's with the team. I really liked that there was a job talk part which puts Skytree's hiring process closer to research labs than regular industry jobs. In the individual interviews, there are no gotcha questions and it felt more like a conversation where they tried to get to know me and understand what I can contribute. As it is a small team, you will get to interact directly with CTO (Prof. Gray) , Visualization VP Leland (of grammar of graphics fame) and their stellar cast of researchers. The team is extremely qualified, but very modest. The flagship product of the company is an enterprise-grade big data ML software. Skytree is perhaps the only game in town now in terms of the breadth and scalability of the algorithms and is poised to be a very powerful player in this space. The compensation they offer (with very little negotiation) is competitive and the recruiter is extremely helpful and always available. I had to turn down the offer due to personal reasons.

I was initially approached by a Skytree recruiter through LinkedIn. I expressed interest, and was given a code test by email. The code test was very basic CS 101 stuff (pangrams and particles). After turning that in, I proceeded to an in-person interview. The in-person was slightly more technical, with some data structures and Big O runtime questions, but the primary focus was really more about determining cultural fit and selling me on the company and technology.