Cohere Interview Questions
We track 2 interview questions reported from Cohere: 2 in ML Fundamentals & Algorithms. They average 3.5/5 difficulty — hard for a working engineer — and every one was reported by someone who sat the loop, not written by us. The topics that come up most: llm, agents, observability, prompt-engineering.
- Headquarters
- Toronto, ON, Canada (offices in NYC, London, San Francisco)
- Founded
- Founded 2019
- Employees
- ~800 employees
- Products
- Command A (LLM) · Command R / R+ (RAG-optimized) · Embed (embeddings) · Rerank
Question mix
- ML Fundamentals & Algorithms2
Difficulty
- 3/5 — medium1
- 4/5 — hard1
Asked for MLE (2), RS (2)
Topics Cohere asks about
1 open role at Cohere
- Senior Account Executive - Montreal/Atlantic Canada — Canada, Halifax, Quebec, Montreal, Nova Scotia
Reported Cohere questions
Live Coding: Replace a Heuristic Terminal Game with an LLM-Driven Agent
4/5This live coding exercise, reported from engineering interviews at Cohere, tests your ability to modernize a legacy terminal-based application by replacing rigid heuristic logic with an intelligent, LLM-driven decision-making agent. You must interface with an external language model API to dynamically govern gameplay actions, ensure robust task completion, and implement error recovery mechanisms. The challenge examines your practical systems integration skills, prompt handling, and adaptive software design. Gain full access to the complete problem instructions and model solution by subscribing today.
ML Fundamentals & AlgorithmsagentsllmobservabilityImplement top-k sampling using NumPy
3/5This Cohere interview question tests your proficiency in numerical computing and probabilistic sampling techniques commonly used in modern language models. You are asked to implement a token selection mechanism that restricts generation choices to the highest-scoring candidates using pure array operations without heavy machine learning frameworks. The task evaluates your mastery of vector manipulation, probability normalization, and efficient indexing strategies. To access the complete problem statement, performance considerations, and clean model implementation, a subscription is needed.
ML Fundamentals & Algorithmsnumpysoftmaxsampling
Companies that ask similar questions
Cohere interview FAQ
- How many Cohere interview questions are available?
- 2 reported Cohere questions, the largest group being ML Fundamentals & Algorithms (2).
- How hard is the Cohere interview?
- Across the questions we track, Cohere averages 3.5 out of 5: 1 at 3/5, 1 at 4/5.
- What topics does Cohere ask about?
- Most often llm, agents, observability, prompt-engineering, robustness.