Senior Machine Learning Engineer Interview Experience - New York, New York
Process
Several tough mathematical problems were presented, with no code written.
Spend more time studying proofs and numerical methods.
Understanding the math behind gradient descent was a key topic.
The behavioral interview was the last round, and it seems to happen only if you get past the first three technical interviews.
Questions
Understanding the math behind gradient descent
Neural net backpropagation
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Interview Statistics
The following metrics were computed from 1 interview experience for the Google Senior Machine Learning Engineer role in New York, New York.
Success Rate
Google's interview process for their Senior Machine Learning Engineer roles in New York, New York is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having mixed feelings for Google's Senior Machine Learning Engineer interview process in New York, New York.
Google Work Experiences
- 4.0Good for such a large companySenior Machine Learning Engineer • Current EmployeeMountain View, California, United StatesFebruary 7, 2024Pros: Lots of support and tooling.Cons: A lot of internal competition.
- 4.0Good WLB, competitive benefits. Work is kind of boringSenior Machine Learning Engineer • Current EmployeeSan Francisco, California, United StatesMarch 18, 2022Pros: 1. Good work-life balance. 2. Competitive benefits and compensation. 3. Very good people around.Cons: 1. In-house tech stacks may not be applicable or compatible with the newest ones. 2. The type of work is kind of boring. 3. It is difficult to see the long-term impact of your work.
- 2.0Cutting Edge Tech, Slow DevelopmentSenior Software Engineer • Current EmployeeNew York, New York, United StatesNovember 16, 2025Pros: Cutting-edge tech. Global product.Cons: Slow for career development. Progression.
Google Interview Questions
