Role interview guide
Machine Learning Engineer
A fragmented role: infra, applied-research, and recsys tracks prepare differently, and LLM-flavored open-ended questions dominate.
Interview process
Stages are ranked by how many reported questions belong to each round. Loops vary by company.
What to prepare
Topics ranked by how often they appear in reported questions.
Common questions
553 questions, weighted toward system design and open-ended technical prompts. Open one for the reference answer.
Learning resources
Recent interview reports
First-hand reports from the community, newest first.
Who is hiring
Ranked by active US ML / AI Engineer openings on our job board: 2,083 jobs across 389 companies.
Apple394 openings02
Google175 openings03
Capital One129 openings04
NVIDIA89 openings05
General Motors71 openings06
Adobe64 openings07Hyphen Connect Limited48 openings08
IBM32 openingsCompanies with reported questions
Meta39
Microsoft26
Anthropic25Capital One23
Pinterest23
Amazon22Apple19
Reddit18
OpenAI17
LinkedIn16
Uber15
Waymo13Google12
Airbnb12
ByteDance / TikTok12
Shopify11
Atlassian10
Snapchat9
Abnormal Security9
Zoox8
Tesla8
Roblox8
xAI8
Hugging Face8
Netflix8
Oracle7
Harvey7
DoorDash7
Databricks6
Figma6NVIDIA6
Wayfair6
Expedia6
Citadel / Citadel Securities6
ZipRecruiter6
Disney6Adobe6
Point726
Scale AI6
Perplexity5
Salesforce5
Stripe5IBM5
Canva4
Temu / Pinduoduo4
Coinbase4
Intuit4
Nextdoor3
Walmart Labs3
Jane Street3
Vanta3
eBay3
Instacart2
Applied Intuition2
Hudson River Trading2
Tower Research Capital2
Two Sigma2
Rippling2
Baseten2
Glean2
Lyft2
Docker1
Bloomberg1
Karat1
Visa1
C3 AI1
Kikoff1
Snowflake1
Bobyard1
Jump Trading1
JPMorgan Chase1
Upstart1
Square (Block)1
Whatnot1
Yahoo1
Voleon1
Dropbox1
Pure Storage1
Datadog1Counts use active company-site openings with a US location whose title matches the ml-ai-engineer rule.
What to expect
Timeline, difficulty, common failure points, and what to watch for at the offer stage.