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Doctrine

Open-source PHP ORM and DBAL libraries

Machine Learning Engineer - Productivity

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • Significant experience building products based on natural language processing, such as named-entity recognition, text classification, text summarization, topic modeling, or content generation.
  • Good knowledge of machine learning, particularly deep learning models.
  • Ability to deliver prototypes quickly in a product-centric environment.
  • Strong interest in artificial intelligence.
  • Willingness to identify, analyze, and integrate the latest scientific advances in the field into production.
  • Good command of Python development, with a focus on building algorithms.
  • Proficiency in French and English.

Responsibilities

  • Develop natural language processing models, based on machine learning or otherwise, to help clients improve productivity, including document search and document generation.
  • Maintain and monitor models in production.
  • Collaborate with engineers, product managers, and product designers to identify new product development opportunities.
  • Share and consolidate best practices within the machine learning chapter, and contribute to engineering strategy.
  • Help other engineers on the team develop their skills.
  • Contribute to internal Data Science chapter projects to improve processes and long-term vision.
  • Participate in weekly Data Science chapter activities, including reviewing the state of the art and scientific papers, continuous improvement, best practices, evaluating new tools, and proposing new processes.
  • Participate in recruiting by conducting technical tests or interviews with candidates.

About the Company

Doctrine

Open-source PHP ORM and DBAL libraries

Doctrine provides PHP libraries for database storage and object mapping, most notably the Object Relational Mapper (ORM) and the Database Abstraction Layer (DBAL). These open-source tools help PHP developers interact with databases by mapping PHP objects to database tables and by offering a unified API for database operations. The project is widely used across PHP frameworks such as Symfony, Laravel, and Laminas, and is maintained by a volunteer community under the MIT license. Unlike proprietary DB tools, Doctrine is funded through donations and sponsorships, and it also engages the developer community through blogs, events, and consulting. The goal is to give PHP developers stable, flexible database management capabilities and a reliable open-source ecosystem.

Company size
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Company stage
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Total funding
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Headquarters
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Founded
2006

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