Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
This information is not specified in the job description.
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.
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).
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.
Open-source PHP libraries for database management
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.