Machine Learning Scientist Interview Experience - United States
Process
The whole process was so fast and efficient. Submitted an online application and received an introductory call the next day. Then HR scheduled a tech phone screening in 3 days. It lasted for an hour, covered my background in ML & a short algorithm question. I was then invited to onsite 2 days later, but because of relocation I had to withdraw myself from the process. Overall people were really nice, they genuinely love their work and care about each other.
Questions
Describe your ML experience in a production setting.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Amplitude Machine Learning Scientist role in United States.
Success Rate
Amplitude's interview process for their Machine Learning Scientist roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Amplitude's Machine Learning Scientist interview process in United States.
Amplitude Work Experiences
- 5.0Amazing Place to Work! Wonderful People! Ownership!Software Engineer • Current EmployeeNovember 29, 2018Pros: The people you will work with here are some of the best people in terms of friendliness and just general ability to work with. Engineers also have immense ownership over what you build.Cons: The team is going through some growing pains.
- 1.0Toxic, mismanaged and sinking shipEngineer • Former EmployeeNovember 26, 2022Pros: Salary is good and good snacks in the offices.Cons: Where do I start? Immature leadership that refuses to listen to anyone. Women leaders can’t be retained because of sexist culture. Stunted product features. The acting CTO has boatloads of complaints against her in HR and is a liability. Founders don’t look you in the eye when they talk to you. Engineers leaving in droves due to sagging stock price and lack of hope in leadership.
- 5.0Great Engineering Culture despite chaotic product visionSoftware Engineer • Former EmployeeSan Francisco, CaliforniaApril 16, 2024Pros: Great distribution of technical experience.Cons: Everything and the kitchen sink is on the product roadmap, leading to little focus in the vision.
