Machine Learning Engineer Interview Experience - London, United Kingdom
January 21, 2025
Positive ExperienceNo Offer
Process
Multiple stages, all online. The first stage was a standard SWE style interview, and the second stage consisted of multiple interviews with some more ML focused exercises and then more general discussion of ML
Questions
There were LeetCode style questions in the first stage.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the G-Research Machine Learning Engineer role in London, United Kingdom.
Success Rate
0%
Pass Rate
G-Research's interview process for their Machine Learning Engineer roles in London, United Kingdom is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral0%
Negative50%
Candidates reported having mixed feelings for G-Research's Machine Learning Engineer interview process in London, United Kingdom.
G-Research Work Experiences
3.0
Very siloed culture
Machine Learning Engineer • Former Employee
London, United Kingdom
December 18, 2024
Pros: There are lots of smart people and access to hardware, which makes it worth joining as a quant.
Cons: The company literally spends money to stop people talking to each other. It is not a collaborative culture.
5.0
Great company to work!
Machine Learning Engineer • Current Employee
December 27, 2022
Pros: There were cool projects with cutting edge technology and a lot of money. The coworkers were smart. There was a lot of benefits.
Cons: Remote working is limited. Keep that in mind.
5.0
G-Research is a great place to work
Software Engineer • Current Employee
London, United Kingdom
May 6, 2018
Pros: The colleagues are very smart.
New technologies are used.
There are plenty of resources available for investment in anything that's needed, i.e., more computers for the cluster.
The pay is good.
Cons: There are very strict security procedures.
No working from home except for support. Support is a pain due to procedures around logging on from home.
- 3.0Very siloed cultureMachine Learning Engineer • Former EmployeeLondon, United KingdomDecember 18, 2024Pros: There are lots of smart people and access to hardware, which makes it worth joining as a quant.Cons: The company literally spends money to stop people talking to each other. It is not a collaborative culture.
- 5.0Great company to work!Machine Learning Engineer • Current EmployeeDecember 27, 2022Pros: There were cool projects with cutting edge technology and a lot of money. The coworkers were smart. There was a lot of benefits.Cons: Remote working is limited. Keep that in mind.
- 5.0G-Research is a great place to workSoftware Engineer • Current EmployeeLondon, United KingdomMay 6, 2018Pros: The colleagues are very smart. New technologies are used. There are plenty of resources available for investment in anything that's needed, i.e., more computers for the cluster. The pay is good.Cons: There are very strict security procedures. No working from home except for support. Support is a pain due to procedures around logging on from home.
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