Experienced/Senior Machine Learning Engineer - Squad Distribute
About the job
- Strong knowledge of classical and deep learning for data extraction and recommendation, ideally with first-hand experience with large language models.
- Experience with natural language search engines and inverted indexes such as Elasticsearch.
- A solid understanding of MLOps challenges and motivation to develop further in this area.
- A keen interest in artificial intelligence topics.
- A desire to identify, analyze, and deploy the latest scientific advances in production.
- Strong Python development skills, with a focus on algorithm design.
- Proficiency in French to work with legal data in French.
- Previous professional experience in law is not required, but willingness to learn and develop expertise in understanding legal documents is important.
- Develop natural language processing models, whether based on machine learning or not, to support information search and recommendation within legal documents.
- Maintain and monitor models in production.
- Design conversational agents to accelerate lawyers’ work across various areas of law, ensuring accurate responses and facilitating drafting tasks.
- Collaborate with engineers, product managers, and product designers to identify new product development opportunities.
- Participate in internal knowledge sharing and consolidation of best practices, and contribute to the development of the Engineering strategy.
- Contribute to internal Web chapter projects aimed at improving processes and shaping the long-term vision.
- Share knowledge, track the state of the art, review scientific papers, support continuous improvement, and promote best practices.
- Propose improvements by experimenting with new tools and suggesting new processes to implement.
- Participate in recruitment by meeting candidates through technical assessments or interviews.
- First-hand experience with large language models.
About the company
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
Simplify's Take
What believers are saying
- Doctrine 3.4.0 shipped last week, signaling active feature delivery for modern PHP.
- Doctrine pushed ORM 2 EOL from February 2026 to at least February 2027.
- Packagist shows DBAL major 3 adoption around 60 percent, strengthening upgrade momentum.
What critics are saying
- ORM 2 support ends after February 2027, forcing upgrades across downstream applications.
- ORM 3 adoption sits at 25-30 percent, delaying ecosystem convergence and support simplification.
- DBAL 4 and ORM 3 deprecations break legacy code, creating migration toil for maintainers.
What makes Doctrine unique
- Doctrine ORM and DBAL anchor PHP persistence across Symfony, Laravel, and Laminas.
- Doctrine 3.4.0 added PHP 8.4 native lazy objects and property hooks support.
- Doctrine’s 2026 sponsorship program funds maintainers, infrastructure, swag, and conference travel.
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Benefits
- Remote Work Options
- Unlimited Paid Time Off
- Professional Development Budget
- Health Insurance
- Gym Membership
- Commuter Benefits
- Meal Benefits