Machine Learning Scientist applicants have rated the interview process at Arena Technologies (NY) with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 33.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Scientist roles take an average of 30 days to get hired, when considering 5 user submitted interviews for this role. To compare, the hiring process at Arena Technologies (NY) overall takes an average of 15 days.
Common stages of the interview process at Arena Technologies (NY) as a Machine Learning Scientist according to 5 Glassdoor interviews include:
I applied online. I interviewed at Arena Technologies (NY) in May 2024
Interview
Assessment and onsite interview. Pretty lengthy process with a data analysis round, technical presentation, systems design and behavioral. With the amount of work they expect you to put in for the onsite, their interviewers are not welcoming at all and ask absurd questions. Also looks like they are not hiring for this role because they keep reposting it every month (since february) and haven't made a single hire yet out of approx ~1500 applicants. Wouldn't be surprised if it was another one of a classic startup move to seem that they are still in business and booming whilst interviewing a lot of candidates they never plan to hire.
Interview questions [1]
Question 1
Behaviorial Question - Describe your hardest project
I applied online. The process took 4 weeks. I interviewed at Arena Technologies (NY) (New York, NY) in Mar 2025
Interview
On-site interview, has 4 rounds, all finished in one day. Each round has a specific topic, will take time to prepare before the interview, including a live presentation to the interviewer, good experience.
Interview questions [1]
Question 1
What is the most difficult thing you ever faced in your life and how did you handle it?
The process started with a technical exam that was challenging. They gave adequate resources to prepare, and it was a great skills assessment. The platform was slightly buggy but other than that it was a good assessment.