Glassdoor users rated their interview experience at Fathom as 100% positive with a difficulty rating score of 2.5 out of 5 (where 5 is the highest level of difficulty). Candidates interviewing for ML Engineer and Marketing Executive rated their interviews as the hardest, whereas interviews for ML Engineer and Marketing Executive roles were rated as the easiest.
The hiring process at Fathom takes an average of 7 days when considering 2 user submitted interviews across all job titles. Candidates applying for Marketing Executive had the quickest hiring process (on average 7 days), whereas Marketing Executive roles had the slowest hiring process (on average 7 days).
They have an interesting "self-interview" process. You record yourself answering interview questions while on a Google call with their software listening and summarizing. However, even after taking the time to go through that process, I received zero response from them. No thanks, no feedback, no rejection. Just silence.
Describe a real-world machine learning problem you solved, including how you approached data preprocessing, model training, and how you integrated domain knowledge into your solution. There are lots of coummunication going on and demonstrate what will the process of solving the problem
I applied online. The process took 1 week. I interviewed at Fathom in Nov 2024
Interview
HackerRank Code screening, followed by a 30 minute behavioral interview with a technical recruiter, followed by a technical interview with a software engineer. There are more stages, but I did not make it.
Interview questions [1]
Question 1
Help us create some functions for our on-call scheduler example (technical question)
Determine how many on-call hours each user has. Create a schedule of the users with the least hours.