FULLTIME JOB

Machine Learning Engineer

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 Machine Learning Engineer 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.