Awesome company, great culture
Awesome company, great culture
- Best place to work, ever
- Take care of people
- Decentralized company (really, with pros and cons associated)
- You can have a big impact
- Smart people, best leaders in ML space
- Inclusive company
- Transparency
- You have to be autonomous, which is not for everybody;
- It is still a startup that has to build its own path, but that is what makes it interesting.
Maybe annual or bi-annual salary reviews and explain choices.
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Hugging Face Interview Experiences
ML Engineer
Bad communication, terrible experience. I think they made a mistake and gave me a take-home project that was supposed to be for another role. When I asked about it, I didn't get any response at all.
Data Engineer
The interview process involved: * A recruiting call * A first technical interview * A take-home assignment * A second technical interview * An interview with the CTO The take-home assignment, which involved building the app they were hiring for, wa
Machine Learning Engineer
The interview process included a general interview followed by a home task. This task assessed creativity and basic ML skills. There was a significant delay in receiving feedback after the home task, attributed to the company's slow pace. Ultimately
ML Engineer
TurkeyFebruary 19, 2024Bad communication, terrible experience. I think they made a mistake and gave me a take-home project that was supposed to be for another role. When I asked about it, I didn't get any response at all.
Data Engineer
New York, New York, United StatesDecember 1, 2022The interview process involved: * A recruiting call * A first technical interview * A take-home assignment * A second technical interview * An interview with the CTO The take-home assignment, which involved building the app they were hiring for, wa
Machine Learning Engineer
United KingdomSeptember 21, 2025The interview process included a general interview followed by a home task. This task assessed creativity and basic ML skills. There was a significant delay in receiving feedback after the home task, attributed to the company's slow pace. Ultimately
