FULLTIME JOB
Senior NLP Researcher
Metamaze is a product scale-up specialized in Intelligent Document Processing. Our mission is to extract any type of information from any kind of document.
We extensively train and serve custom Transformers-based models (800+ models and growing fast).

About Metamaze
Metamaze is a product scale-up specialized in Intelligent Document Processing. Our mission is to extract any type of information from any kind of document. We extensively train and serve custom Transformers-based models (800+ models and growing fast).
What will you do?
We are seeking a talented Senior NLP Researcher to join our dynamic team. As a key engineering team member, you will play a crucial role in developing and enhancing all ML components of our Intelligent Document Processing platform.
You will have the opportunity to work on cutting-edge NLP techniques and leverage recent advancements in the field to solve complex document processing challenges.
Models we support include entity extraction, cross-chunk relation extraction, nested NER, multi-label classification, sentence classification, similarity-based retrieval, outlier detection, clustering, OCR, object detection, … You will work with interesting, real-world datasets at scale.
Responsibilities
- Collaborate with the ML, Full Stack, and product teams to discuss requirements for the development process.
- Optimize and fine-tune existing models to improve accuracy, performance, and scalability as well as implement new machine learning algorithms and models for Intelligent Document Processing.
- Stay informed about the latest advancements in NLP, LLMs, and document processing. Identify the right tooling and frameworks to integrate them into our platform.
- Work on data validation, data preprocessing, and model evaluation to ensure high-quality output.
- Document technical specifications, experiments, and findings to support knowledge sharing within the team. Report on findings in blog posts or publications.
- Actively contribute to and brainstorm about the product roadmap with regards to the integration of machine learning.
Who are you?
Your profile:
- Master's or doctoral degree in Computer Science, Engineering, Machine Learning, Computational Linguistics, or a related field.
- Strong background in Machine Learning, with expertise in Natural Language Processing techniques including in-depth understanding and practical experience with state-of-the-art architectures, such as transformers and attention mechanisms.
- Experience with relevant libraries and frameworks (e.g., PyTorch, TensorFlow, Transformers, scikit-learn)
- Proficiency in English is required.
- Strong problem-solving skills and the ability to work on complex challenges independently.
- Have a great attitude and ability to collaborate across teams
- Strong attention to detail and a passion for delivering high-quality results.
Nice-to-haves:
- Language knowledge outside of English like Dutch, French or German
- Knowledge of OCR techniques.
- Experience with cloud platforms and familiarity with MLOps (Azure, Docker, Kubeflow, KServe).
- Publications or contributions to the NLP/Machine Learning community (e.g., research papers, open-source projects).
- Experience in fine-tuning LLMs (supervised or RLHF), langchain, llamaindex, creating LLM-based agents, …
Hiring process
If you are passionate about solving challenging problems and want to be at the forefront of innovation, we would love to hear from you!
To apply, send an e-mail to ml@metamaze.eu containing your resume, a short cover letter, and any relevant code samples you have
Selected resumes will be invited for an initial in-take call (5-10 min), a technical interview and finally a general interview.