Experienced/Senior Machine Learning Engineer - Squad Thémis at Doctrine

Paris, Île-de-France, France

Doctrine Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Legal TechIndustries

Requirements

  • Very good knowledge of machine learning (classical and deep learning) for data extraction and recommendation, ideally with first experience with LLMs
  • Experience with natural language search engines and inverted indexes such as Elasticsearch
  • Strong interest in artificial intelligence topics
  • Desire to identify, analyze, and integrate the latest scientific advancements in the field into production
  • Good mastery of Python development, with a focus on building algorithms
  • Mastery of the French language, as you will handle French legal data
  • No professional experience in law required, but willingness to invest and build skills in understanding legal documents is important

Responsibilities

  • Develop NLP models (based on Machine Learning or not) to assist in searching and recommending information in legal documents
  • Maintain and monitor these models in production
  • Design conversational agents to accelerate lawyers' work in various legal fields, ensuring accurate responses and facilitating drafting work
  • Collaborate with different profiles, including engineers, product managers, and product designers, to identify new product development axes
  • Participate in the internal dissemination and consolidation of best practices; contribute to the development of our Engineering strategy
  • Participate in the Data Science chapter to contribute to internal projects improving processes and long-term vision, with weekly meetings

Skills

Key technologies and capabilities for this role

Machine LearningAIData AcquisitionData EnrichmentData Processing

Questions & Answers

Common questions about this position

What is the salary for this Machine Learning Engineer position?

This information is not specified in the job description.

Is this a remote position or is there a required office location?

This information is not specified in the job description.

What skills are required for this Experienced/Senior Machine Learning Engineer role?

The role requires experience developing NLP models (based on Machine Learning or not), maintaining and monitoring models in production, designing conversational agents, and collaborating with engineers, product managers, and designers.

What are Doctrine's company values?

Doctrine's values are: Challenge the status quo (defending bold ideas and intelligent risk-taking), Liberty and responsibility (promoting autonomy, impact, and ownership), Knowledge is power (information at the heart of the mission), and Release early, release often and listen to your customers (believing in iteration and listening to the market and clients).

What makes a strong candidate for this Machine Learning Engineer role at Doctrine?

A strong candidate is a confirmed/senior ML engineer with experience in NLP models and production monitoring, plus a strong desire to learn about legal documents even without prior legal experience.

Doctrine

Open-source PHP libraries for database management

About Doctrine

Doctrine offers PHP libraries that help developers manage database storage and object mapping, primarily through its Object Relational Mapper (ORM) and Database Abstraction Layer (DBAL). These tools simplify database interactions by allowing developers to map objects in their code to database tables, making them essential for backend development in frameworks like Symfony and Laravel. Unlike its competitors, Doctrine operates as an open-source project, allowing free use and modification of its software, which is maintained by a community of volunteers. The goal of Doctrine is to provide high-quality and flexible database solutions for PHP developers.

N/AHeadquarters
2006Year Founded
VENTURE_UNKNOWNCompany Stage
Consulting, Enterprise SoftwareIndustries

Risks

Competition from Eloquent ORM could divert users from Doctrine.
Reliance on community contributions may slow updates and bug fixes.
Shift towards serverless and NoSQL may impact Doctrine's traditional ORM relevance.

Differentiation

Doctrine offers robust ORM and DBAL tools for PHP developers.
It is widely integrated with popular PHP frameworks like Symfony and Laravel.
Doctrine's open-source model fosters community-driven innovation and collaboration.

Upsides

Growing demand for GraphQL support enhances Doctrine's ORM tool relevance.
Serverless architecture trends create opportunities for optimizing Doctrine's DBAL.
Microservices architecture increases need for flexible database solutions, benefiting Doctrine.

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