Senior Machine Learning Engineer in Search

Company:
Location: Paris (75)

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Nous souhaitons rendre le droit plus accessible et compréhensible.
Pour ce faire nous construisons des produits à destination des professionnels du droit (avocats et juristes) afin de leur permettre d'accéder à toutes les informations juridiques dont ils ont besoin pour conseiller au mieux les justiciables.

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At Doctrine, we apply cutting edge machine learning (including deep learning) and natural language processing (NLP) technologies to the largest database of court decisions ever gathered. Data is the core of our business.
As it takes exceptional people to build the future of law, we are looking for an exceptional Senior Machine Learning Engineer for exploring data in how we apply ML techniques to solve document ranking to improve our search engine and enabling thousands of lawyer who use Doctrine on day to day basis to do their best work.

As a Senior Machine Learning Engineer in Search, you will:

  • Develop NLP systems that help understand user queries and rank results
  • Design and build and monitor customized large-scale cloud-based search-oriented machine learning systems
  • Develop and tune Elasticsearch indexing and queries
  • Setup, run, and interpret the results of A/B experiments for new ML models and making data-driven iterations of the models.
  • Explore our data and examine our systems to uncover and build the next iteration of our search relevance engine
  • Provide technical leadership, recommend and enforce best practices, develop engineering strategy and roadmap
  • Interact cross-functionally with a wide variety of people and teams especially other engineers, product managers, and product designers to identify the next product opportunities

We’re looking for teammates with:

  • Relevant work experience (e.g., as a statistician / computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
  • A good knowledge of machine learning (both classical methods and deep learning approaches)
  • Experience with building consumer-facing products
  • Experience and interest working with large scale search / information retrieval systems
  • A strong interest in Artificial Intelligence and how it will shape our future
  • Great software development skills in Python, with a focus on building sound and scalable algorithms
  • SWE skills in terms of system architecture & design, distributed systems, coding, OO/API, testing.
  • Familiar with substantial backend infrastructures and relevance systems (Elastic, PostgreSQL, Snowflake)
  • Excitement about taking cutting-edge technologies and techniques to one of the most important and most conservative industries
  • A passion for finding, analyzing, and incorporating the latest research directly into the production environment. Good intuition for understanding what good research looks like, and where we should focus effort to maximize outcomes
  • A good knowledge of French, as you will process French queries

Bonus points if you have:

  • You're interested in law (but you're not required to have an experience in the legal field for this job :) )
  • Expertise in ML fundamentals applicable to search such as Deep Learning, Tree-Based Models, and Learning to Rank
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Avantages
  • Salaire compétitif
  • BSPCE pour tous les employés
  • Flexible sur le remote
  • Vacances illimitées
  • Macbook neuf et équipements de travail offerts
  • Bonus pour les cooptations
  • Réductions pour les activités sportives
  • Bonne assurance santé
  • Tickets restaurants
  • Verre d'équipe et présentations d'équipe toutes les semaines et évènements collectifs tous les trimestres

Mesdames, autorisez-vous à candidater !
Certaines études scientifiques montrent qu'en particulier les femmes ont moins tendance à postuler à une offre d'emploi quand elles n'ont pas toutes les qualifications. Si cela peut vous rassurer, sachez que cette fiche de poste est indicative donc prenez la comme telle : c'est un guide, ni plus ni moins.
Si Doctrine vous intéresse, sachez que nous aurons plaisir à recevoir votre candidature !

*** Mention DataYoshi when applying ***

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