Machine Learning Engineer applicants have rated the interview process at Cellanome with 1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 100% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Cellanome as a Machine Learning Engineer according to 1 Glassdoor interviews include:
I applied online. I interviewed at Cellanome (San Francisco, CA) in Jun 2026
Interview
Round 1 - Screening, general housekeeping questions, can you work in person, salary expectations.
Round 2 - Technical, questions about past experience. Explain some past ML systems you have owned, explain least squares optimization, usage of foundational models for zero shot or one shot detection.
Interview questions [1]
Question 1
What type of models did you employ for object detections