Company profile
DeepL
DeepL builds neural translation, writing, and language AI products used by individuals and enterprises across Europe and beyond. Interviews combine applied NLP, production reliability, privacy expectations, and a European product culture where linguistic quality is a core engineering constraint.
Interview process
DeepL operates in the translation space with a headcount around 1K, which usually puts hiring in a middle zone: repeatable enough to have defined stages, small enough that the team you would join runs most of the loop. For ml engineer, ai engineer, ai infrastructure engineer candidates that generally means a recruiter conversation, skill rounds led by future teammates, and a closing conversation with a senior leader. The role pages below break down the questions for each function.
Questions and process by role
DeepL hires across several engineering and product functions, and the loop shifts with each one. Open a role for the reported questions, the round-by-round focus, and a salary band for that function.
- ML engineer
ML engineer interview questions and process at DeepL.
engineering - AI engineer
AI engineer interview questions and process at DeepL.
ai - AI infrastructure engineer
AI infrastructure engineer interview questions and process at DeepL.
ai - AI red team engineer
AI red team engineer interview questions and process at DeepL.
ai - AI research engineer
AI research engineer interview questions and process at DeepL.
research - MLOps engineer
MLOps engineer interview questions and process at DeepL.
ai - Analytics engineer
Analytics engineer interview questions and process at DeepL.
data - BI engineer
BI engineer interview questions and process at DeepL.
data
Salary signal
Approximate senior median pay for DeepL's core roles, anchored to San Francisco and modeled from BLS, ONS, and Levels.fyi reference medians. These are market bands for the role and city, not DeepL offers. Open a role for the full city-by-city table.
Employee reviews
DeepL holds a 4.1 Glassdoor rating. External review scores are directional signals. Treat them as context alongside the specific team, location, level, and hiring manager you are interviewing with.
Glassdoor 4.1