Cohere Health Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 12 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Cohere Health.
Cohere Health
Machine Learning Engineer
Mid Easy Negative experience Decline offer 5 rounds
Interview process
Technical screen Take home Presentation Onsite Recruiter call Background check Offer
Interview formats
Coding Case Technical Behavioral Other
The interview process involved a coding exercise, a case study, an executive interview, and a personality assessment to gauge culture fit. It was quite a lengthy process, and the recruiter's tendency to go silent or keep me waiting for weeks at a time was a significant concern.
Confirmed questions1 question
- Describe how you would architect a system capable of processing medical documents to extract valuable insights.
Cohere Health
Machine Learning Engineer
Mid Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Phone screen Technical screen Onsite Background check Offer
Interview formats
Technical Coding System Design Behavioral
So first up was a phone screen, then a coding challenge, after that a technical interview where they gave me a problem and I had to give a high-level solution. For that technical part, I had to show I understood traditional ML and newer NN stuff. They asked about model design, data validation, and monitoring performance. Then, I talked with senior management. The coding wasn't super tough, but you do need to know your ML concepts.
Confirmed questions2 questions
- How could this model be made better, specifically regarding scalability, performance, and handling diverse or complex inputs?
- Could you suggest improvements to the current model implementation to enhance its scalability, model performance, and ability to support different or more complex inputs?
Cohere Health
Machine Learning Engineer
Entry Difficult Positive experience No offer 6 rounds
Interview process
Take home Recruiter call Background check Technical screen Onsite
Interview formats
Coding Technical Presentation
There were about 6 rounds: OA, then HR, then the hiring manager, followed by a 72-hour limited project which seemed pretty important, and then a final round with two parts: live coding and an interview with the ML team manager. I didn't get the job after the final round.
Confirmed questions1 question
- The 72-hour limited project was about how to extract very messy clinical data.
Cohere Health Machine Learning Engineer Interview Questions
Quoted word for word from Cohere Health interview reports.
“How would you approach topic modeling for unstructured medical data?”
Read reports →“Can you explain your method for dividing data into testing and training sets?”
Read reports →“Describe how you would architect a system capable of processing medical documents to extract valuable insights.”
Read reports →“How could this model be made better, specifically regarding scalability, performance, and handling diverse or complex inputs?”
Read reports →“Could you suggest improvements to the current model implementation to enhance its scalability, model performance, and ability to support different or more complex inputs?”
Read report →“What motivated your decision to apply to Cohere Health?”
Read report →“Can you give a basic and brief self-introduction?”
Read report →“Can you tell me about your machine learning background and your experience with Natural Language Processing?”
Read report →“Can you walk me through a project where you worked with unstructured datasets?”
Read report →Formats, difficulty and experience
Across all 12 Cohere Health interview reports.