Senior Algorithms Researcher

2 weeks ago

Montreal, Quebec, Canada Adoc Talent Management Full time
LA VERSION FRANÇAISE SUIT ****
Are you passionate about mathematics, algorithms, probability, optimization, N and NP-hard problems? Would you like to work for a young, fast-growing startup in the field of quantum-inspired computing?
We are recruiting a Senior Algorithms Researcher (F/M) for our client, for a full-time contract (40h/week) in hybrid mode (working at the office on Mondays and Thursdays) in Montreal. At this firm, you'll work with the R&D Applications team to solve highly complex problems in a wide range of sectors, including logistics, cybersecurity, finance, gaming, pharmaceuticals and chemicals.
Research and prototype new algorithms to solve customer problems.
Actively monitor the latest research and techniques for solving combinatorial optimization problems (COP).
Interface with the R&D Hardware team to develop new solvers and application layers to improve algorithm performance.
Interface with the product team to transfer prototype algorithms/codes to the production system.
Design experiments and carry out tests in close collaboration with university researchers.
PhD degree in Operations Research, Applied Mathematics, Computer Science, Electrical Engineering or equivalent.
At least two years' experience (recent and outside PhD) in developing algorithms for optimization problems.
Very strong skills in modern C++ and Python.
Familiarity with industry-standard software development practices (e.g. Kanban, Agile).
Experience in a technology startup.
Good knowledge of written and spoken English.
Assets :
Knowledge of French is a plus.

e de mathématiques, algorithmie, probabilités, optimisation, problèmes N et NP-difficiles, vous souhaitez évoluer dans une jeune startup qui travaille dans le domaine de l'informatique d'inspiration quantique et qui est en pleine croissance?
Nous recrutons, pour notre client, un Chercheur Senior en Algorithmes (F/H) , pour un contrat à temps plein (40h/semaine) en mode hybride (présentiel lundi et jeudi) à Montréal. Au sein de cette firme, vous travaillerez avec l'équipe R&D Applications afin de résoudre des problèmes très complexes dans un large éventail de secteurs notamment la logistique, la cybersécurité, la finance, les jeux, l'industrie pharmaceutique et la chimie.
Veille active sur les dernières recherches et techniques pour résoudre les problèmes d'optimisation combinatoire (COP).
Assurer l'interface avec l'équipe R&D Hardware pour développer de nouveaux solveurs et couches d'application afin d'améliorer les performances des algorithmes.
Concevoir des expériences et effectuer des tests en étroite collaboration avec des chercheurs universitaires.
Diplôme de Doctorat (PhD) en Recherche opérationnelle, Mathématiques appliquées, Sciences informatiques, Informatique, Ingénierie électrique ou équivalent.
Très bonne expertise mathématique en probabilités (outils et concepts mathématiques, probabilités stochastiques, etc.).
Au moins deux ans d'expérience (récentes et en dehors du PhD) dans le développement d'algorithmes pour les problèmes d'optimisation.
Très solides compétences en C++ et Python modernes.
Familiarité avec les pratiques de développement de logiciels standard de l'industrie (par exemple Kanban, Agile).
Expérience dans une startup technologique.
Bonne connaissance de l'anglais écrit et parlé.
La connaissance du français est un plus.
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