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NLP Engineer – Multilingual Systems
Ethan Caldwell
Full-time · Mid-level · Paris
About the role
Our clients operate in 14 countries. Their customers write support tickets in Portuguese, Thai, German, Vietnamese, and eight other languages — often mixed. Our current NLP system handles English well and falls apart everywhere else. We need an NLP engineer who has actually shipped multilingual classification and entity extraction at scale — not someone who knows the theory, but someone who has fixed models when they failed across language pairs.
Responsibilities
- Build and fine-tune multilingual classification and extraction models
- Design language detection and routing pipelines
- Evaluate model performance per language and identify gaps
- Collaborate with annotation teams on training data quality
- Document model behaviour and limitations for client teams
Requirements
- Strong experience with multilingual NLP (cross-lingual models, mBERT, XLM-R)
- Python and Hugging Face Transformers
- Experience with text classification, NER, or intent detection at scale
- Familiarity with translation pipelines and language detection
- Able to evaluate model performance across language pairs
Benefits
- Interesting multilingual NLP challenge
- Full remote
- Competitive salary
- Conference budget
- Small, expert team
Job Type
Full-time
Level
Mid-level
Language
English
Salary Range
$100,000 – $130,000
AI Expertise
NLP & Prompt Engineering
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