D

Doctrine

Open-source PHP ORM and DBAL libraries

Machine Learning Engineer

Applied Machine LearningPosted on Nov 13
Full-time

About the Job

Requirements

  • Experience building products based on machine-learning models, including classification, summarization, or content generation.
  • Knowledge of machine learning, particularly deep-learning models.
  • Ability to deliver prototypes quickly in a product-centric environment.
  • Strong interest in artificial-intelligence topics.
  • Willingness to identify, analyze, and integrate the latest scientific advances into production.
  • Proficiency in Python development, focused on building algorithms.
  • Fluency in French and English.

Responsibilities

  • Provide understanding and automation for lawyers’ administrative and commercial activities.
  • Automatically generate administrative documents specific to lawyers’ cases.
  • Use legal analytics and existing simulations to provide context and personalized suggestions around employment-termination simulations.
  • Explore developing a specialized chatbot for the Jobexit platform.
  • Collaborate with engineers, product managers, product designers, and legal professionals to identify new product-development opportunities.
  • Share and consolidate best practices within the machine-learning chapter and contribute to the Engineering strategy.
  • Help other engineers on the team develop their skills.
  • Contribute to cross-functional Data Science chapter projects to improve internal processes and long-term vision, including sharing knowledge, reviewing scientific papers, and proposing tools and processes to experiment with or implement.
  • Participate in recruiting by meeting candidates during technical tests or interviews.

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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