Pros: Friendly people, state-of-the-art NLP/ML technology.

Cons: Offices are spread worldwide, making it hard to gather in one place at a time.

Pros: I like the work-life balance.

Cons: It was not much, pretty solid overall.

Pros: A perfect place to work for someone interested in linguistics, machine learning, natural language processing, and deep learning. The quality of research is on par with top-tier companies. Solving real-world problems. Running a large-scale web infrastructure in the cloud. Applying advanced algorithms and computer science daily. The engineering team is very strong (e.g., programming competition participants). One can learn a lot about what it takes to run an internet company – business and technology. Working in a "startup" atmosphere. Everyone's contribution matters. Releases reach millions of users instantly. The customers love the product. The company cares about employees – professional growth and happiness. The managers have good judgment and listen to employees' feedback. A fun and comfortable place to work: the office location, perks, friendly atmosphere, events, and offsites. Disclaimer: I work in the Kyiv office, although I've met many teammates from SF.

Cons: In engineering, we are responsible for our services running without disruptions. For many people, this means participating in on-call duty and having some degree of unpredictable work, although it is a norm for most internet companies. Having offices in two time zones helps.