Machine Learning Engineer Interview Experience - San Francisco, California
Process
I applied online. The process took 5 days.
- 30 min recruiter chat
- 1 hr coding challenge
Really enjoyed the coding challenge problem. It was fun and challenging. Interviewer didn’t seem to be interested in the interview. They went afk during the coding challenge. Had to ask if they were still there. Quickly lost interest in the company after that. Coding challenge should be a 2 ways discussion and a good way for interviewee to gauge the team work ethics.
Questions
How can we optimize the current implementation?
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Abnormal AI Machine Learning Engineer role in San Francisco, California.
Success Rate
Abnormal AI's interview process for their Machine Learning Engineer roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Abnormal AI's Machine Learning Engineer interview process in San Francisco, California.
Abnormal AI Work Experiences
- 5.0Hard problems, great solutions, great companyMachine Learning Engineer • Current EmployeeSeattle, WAMarch 17, 2022Pros: Everyone is intelligent, kind, and hardworking. Interesting problems with a great culture. Great leadership and a broader vision.Cons: No 401k match; otherwise no complaints!
- 5.0Best company I've ever worked forSoftware Engineer • Current EmployeeNew York, NYFebruary 19, 2021Pros: - Lots of potential to learn and grow - Smart and hardworking people in all parts of the company - Business growing very quickly, with lots of opportunity to see engineering challenges at different stages of a companyCons: You have to be able to adapt to a rapidly changing environment.
- 4.0Great productSoftware Engineer • Current EmployeeSingaporeApril 12, 2023Pros: - Work from home - Quarterly bonuses - Friendly co-workers - Culture - Great product which is getting good traction in the market - New product line ideas look good if they execute well - Still hiring even though the trend is to lay off.Cons: - The technical stack is old. - There is US-centric decision-making, though they try to be inclusive.
