Top 13
Prep plan
Updated weekly · Last refresh Aug 30

Cohere Machine Learning Engineer Interview Questions

The questions to prepare for a Cohere Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.

13questions
~2htotal time
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1
NLPStart here. 5 questions · ~40 min
Create BERT Sentence Completion DatasetMedium

Assesses your ability to design an NLP dataset and prepare it for BERT-based training.

Cohere
Implement Top-k Token DecodingMedium

Tests practical ability to implement top-k sampling correctly for token generation.

llmCohere
Flaws of Top-k DecodingMedium

Assesses critical understanding of limitations and failure modes of top-k sampling.

NLPCohere
Greedy and Alternative DecodingMedium

Evaluates your ability to implement and compare decoding methods for LLM text generation.

NLPCohere
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2
Machine Learning4 questions · ~32 min
Enhancing LLM Reasoning TasksMedium

Tests your ability to improve reasoning performance using modeling and training techniques.

reasoningllmCohere
LLM Training Data Cutoff BehaviorMedium

Assesses your ability to design safeguards and response policies for LLM knowledge limitations.

llmCohere
Tensor Manipulation and Generative ModelsMedium

Evaluates your hands-on ML engineering skills across tensor operations and generative modeling.

Cohere
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3
Behavioral & Leadership4 questions · ~32 min
Critiquing a Research PaperMedium

Evaluates your ability to critique research methodology and assess real-world usefulness.

Cohere
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The finish line: interview-readyComplete all 13 questions to finish this plan.