Frontend Engineer Interview Experience - United States
November 22, 2023
Negative ExperienceNo Offer
Process
- Chat with a recruiter.
- Technical phone screen (2/3 live coding vending machine question, 1/3 talking over a piece of code).
- Two more pairing sessions; one coding, one system design.
- Chat with hiring manager.
If you care about company culture, make the most of each question you ask.
Questions
Study up on the vending machine question, object prototypes in JavaScript, and the setInterval function. (Seriously, they wanted a full explanation of how setInterval works, even though the code sample was just really bad code. So weird!)
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Handshake Frontend Engineer role in United States.
Success Rate
0%
Pass Rate
Handshake's interview process for their Frontend Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral50%
Negative50%
Candidates reported having very negative feelings for Handshake's Frontend Engineer interview process in United States.
Handshake Work Experiences
4.0
Flexible, Good Pay, Cutthroat
AI Fellow • Current Employee
San Francisco, California, United States
November 24, 2025
Pros: Flexible, Accommodating, Teamwork, Good pay.
Cons: There can be pressure, and it is cutthroat.
3.0
Flexible Work, Inconsistent Pay
Remote AI Trainer • Current Employee
Hartford, Connecticut, United States
November 18, 2025
Pros: The work can be exciting if you like to dissect complicated problems in your field of expertise.
Work as many hours, from anywhere, at any time you want.
Good entry into the field of data annotation for AI training. The pay can be very high if you work quickly.
Cons: The amount of time you get paid for each task is capped. Therefore, the pay per hour may not be accurate depending on the role you are assigned.
Reviewer roles tend to be paid more consistently than fellows due to unrealistic time caps. Also, there are many unpaid components of the job, despite being pretty essential. For example, checking for changes in project requirements (expect very frequent changes) or attending office hours for help.
4.0
Chill Teammates, Few Projects
SWE Intern • Current Employee
Los Angeles, California, United States
November 17, 2025
Pros: Very easy and chill teammates.
Cons: Not a lot of projects.
- 4.0Flexible, Good Pay, CutthroatAI Fellow • Current EmployeeSan Francisco, California, United StatesNovember 24, 2025Pros: Flexible, Accommodating, Teamwork, Good pay.Cons: There can be pressure, and it is cutthroat.
- 3.0Flexible Work, Inconsistent PayRemote AI Trainer • Current EmployeeHartford, Connecticut, United StatesNovember 18, 2025Pros: The work can be exciting if you like to dissect complicated problems in your field of expertise. Work as many hours, from anywhere, at any time you want. Good entry into the field of data annotation for AI training. The pay can be very high if you work quickly.Cons: The amount of time you get paid for each task is capped. Therefore, the pay per hour may not be accurate depending on the role you are assigned. Reviewer roles tend to be paid more consistently than fellows due to unrealistic time caps. Also, there are many unpaid components of the job, despite being pretty essential. For example, checking for changes in project requirements (expect very frequent changes) or attending office hours for help.
- 4.0Chill Teammates, Few ProjectsSWE Intern • Current EmployeeLos Angeles, California, United StatesNovember 17, 2025Pros: Very easy and chill teammates.Cons: Not a lot of projects.
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