Question bank

Interview questions, with guidance on how to answer

834 questions across 64 roles. Open one to see what a strong answer includes and common slips, then drill it out loud with Ava. New to answer structure? Start with the learning hub.

572 questions match your filters.

TechnicalEntry levelMachine Learning Engineer
What does it mean for features to be computed the same way in training and in production, and why does that matter?
Tests: Data & feature pipelines
TechnicalMid levelMachine Learning Engineer
Walk me through how you've deployed a model. How was it packaged, served and rolled out safely?
Tests: MLOps & deployment
TechnicalMid levelMachine Learning Engineer
Your model training takes twelve hours on a GPU and the team needs to iterate faster. What would you try?
Tests: Model training & evaluation
TechnicalSeniorMachine Learning Engineer
If you were setting up the machine learning platform for a team of ten scientists, what would you build first and what would you buy?
Tests: MLOps & deployment
TechnicalAny levelMachine Learning Engineer
Beyond accuracy, what do you monitor for a model running in production?
Tests: Model monitoring & reliability
TechnicalAny levelMachine Learning Engineer
How do you version data and features so you can reproduce a model from six months ago?
Tests: Data & feature pipelines
TechnicalEntry levelAI Engineer
In simple terms, what is retrieval augmented generation, and why would you use it instead of just asking a language model directly?
Tests: Retrieval augmented generation
TechnicalEntry levelAI Engineer
A chatbot you built keeps giving long rambling answers. What would you change first?
Tests: Prompt & context engineering
TechnicalEntry levelAI Engineer
What is prompt injection, and how might it affect an assistant that reads customer emails?
Tests: AI safety & security
TechnicalMid levelAI Engineer
Your document search assistant often answers using the wrong document. How would you debug and improve retrieval?
Tests: Retrieval augmented generation
TechnicalMid levelAI Engineer
How do you evaluate whether a change to a prompt or model actually made your application better?
Tests: LLM evaluation
TechnicalMid levelAI Engineer
Tell me about an agent or tool-using workflow you built. How did you stop it from looping or taking the wrong action?
Tests: Agents & tool use
TechnicalMid levelAI Engineer
Your app's language model costs are growing faster than usage. What levers would you pull?
Tests: Production reliability & cost
TechnicalSeniorAI Engineer
When would you build a fixed workflow with a model at certain steps, versus giving an agent freedom to plan its own steps?
Tests: Agents & tool use
TechnicalAny levelAI Engineer
How do you handle latency in a chat or voice product where users expect a reply almost immediately?
Tests: Production reliability & cost
TechnicalEntry levelAutomation Engineer
Tell me about a small script or automation you've built, even just for yourself. What did it do and how did you test it?
Tests: Scripting & programming
TechnicalEntry levelAutomation Engineer
An automation that copies invoices into the finance system fails halfway through a batch. What should happen next?
Tests: Error handling & resilience
TechnicalMid levelAutomation Engineer
When would you use screen-based robotic process automation instead of connecting through an API, and what are the risks?
Tests: RPA & workflow tool development
TechnicalMid levelAutomation Engineer
Walk me through integrating two systems where one sends data through webhooks and the other only accepts batch uploads.
Tests: APIs & system integration
TechnicalMid levelAutomation Engineer
How do you handle the passwords and credentials your bots need to log in to other systems?
Tests: Security & governance