Machine Learning Engineer Interview Experience - United States
May 11, 2018
Neutral ExperienceNo Offer
Process
Takes two months, with two rounds of tech phone interviews, one round of HR interview. One tech interview is on your project and coding, the other is an open problem, designing a classifier.
Questions
Your projects
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Interview Statistics
The following metrics were computed from 7 interview experiences for the Bloomberg LP Machine Learning Engineer role in United States.
Success Rate
14%
Pass Rate
Bloomberg LP's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive71%
Neutral29%
Negative0%
Candidates reported having very good feelings for Bloomberg LP's Machine Learning Engineer interview process in United States.
Bloomberg LP Work Experiences
5.0
Supportive to personal growth
Machine Learning Engineer • Current Employee
July 25, 2024
Pros: - Flat structure that makes it easy to get buy-in for new ideas.
- Open and collaborative colleagues that you can learn from.
- Opportunities for personal growth.
Cons: - Investing more time pays off (product impact, personal growth), so it’s easy to lose track of work/life balance if you aren’t careful.
5.0
Great Balance, Too Many Meetings
Machine Learning Engineer • Current Employee
New York, New York, United States
April 29, 2024
Pros: 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.
Cons: There are too many meetings.
4.0
Interesting Work, Good Pay
Machine Learning Engineer • Current Employee
New York, New York, United States
April 22, 2024
Pros: Interesting work.
Financial.
Good pay.
Cons: Not too many.
Overall good.
- 5.0Supportive to personal growthMachine Learning Engineer • Current EmployeeJuly 25, 2024Pros: - Flat structure that makes it easy to get buy-in for new ideas. - Open and collaborative colleagues that you can learn from. - Opportunities for personal growth.Cons: - Investing more time pays off (product impact, personal growth), so it’s easy to lose track of work/life balance if you aren’t careful.
- 5.0Great Balance, Too Many MeetingsMachine Learning Engineer • Current EmployeeNew York, New York, United StatesApril 29, 2024Pros: 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.Cons: There are too many meetings.
- 4.0Interesting Work, Good PayMachine Learning Engineer • Current EmployeeNew York, New York, United StatesApril 22, 2024Pros: Interesting work. Financial. Good pay.Cons: Not too many. Overall good.
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