5.0
15 Nov 2021
Current employee, more than 5 years
London, England
Recommend
CEO approval
Business outlook
Pros
There are hundreds of engineers working on a variety of hard technical challenges at DeepMind spanning compilers, accelerators (e.g. GPUs), distributed systems, production services, SRE and more. DeepMind does not require AI/ML knowledge for Software Engineering roles and you can have a lot of impact on ML research projects as a pure SWE at DeepMind.
Cons
There are so many interesting and exciting things to work on that sometimes it is hard to switch off. Having such brilliant colleagues can exacerbate feelings of imposter syndrome. Luckily DeepMind has great opportunities to learn, grow and an established feedback culture to help direct you. The interview process is tough.