Great Balance, Too Many Meetings
Great Balance, Too Many Meetings
Great work-life balance, great perks including health/dental/vision insurance with no monthly premiums for employees and their children, access to pretty much every museum in NYC, and decent PTO (4 weeks).
The company isn't owned by shareholders, which helps with the culture and long-term vision. There are no layoff/PIP quotas. Virtually all profits produced by Bloomberg LP go to charity.
There are too many meetings.
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Bloomberg LP Interview Questions
Bloomberg LP Interview Experiences
Machine Learning Engineer
Had 6 rounds in total. Got rejected after 4 rounds. I gave the following rounds: - Resume/ML core concepts - 2 live coding rounds - An ML system design round The last two rounds were supposed to be system design again and a cultural round.
Machine Learning Engineer
I applied on their website. The recruiter called for 15 minutes and later scheduled a phone screen with Python coding and technical questions. This was followed by 30 minutes of LeetCode problems and 30 minutes discussing past experiences.
Machine Learning Engineer
I was contacted by a recruiter who managed the process from beginning to end. There were two phone screens: * One focused on general technical questions based on algorithms and data structures. * The other focused entirely on machine learning fu
Machine Learning Engineer
New York, New York, United StatesMay 8, 2025Had 6 rounds in total. Got rejected after 4 rounds. I gave the following rounds: - Resume/ML core concepts - 2 live coding rounds - An ML system design round The last two rounds were supposed to be system design again and a cultural round.
Machine Learning Engineer
New York, New York, United StatesNovember 1, 2022I applied on their website. The recruiter called for 15 minutes and later scheduled a phone screen with Python coding and technical questions. This was followed by 30 minutes of LeetCode problems and 30 minutes discussing past experiences.
Machine Learning Engineer
New York, New York, United StatesOctober 1, 2017I was contacted by a recruiter who managed the process from beginning to end. There were two phone screens: * One focused on general technical questions based on algorithms and data structures. * The other focused entirely on machine learning fu
