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Intel

Graph Analytics Engineer

в Intel

200 000 —‍ 350 000 ₽/мес на руки

📍 МоскваПолная удалёнка
Специализация
С / С++
Уровень
Senior
Английский
B1 — IntermediateB1 — Intermediate
Команда
6 - 10 человек

Intel one API Data Analytics Library (oneDAL) team is looking for a Graph Analytics Machine Learning Engineer. oneDAL is a powerful machine learning library for data scientists that turns large data clusters into meaningful information with advanced analytics algorithms and is highly optimized for modern Intel hardware architectures. With the growth of models, data sets, and also computation resources availability at scale, it is crucial to have capability to distribute workload across multiple devices and/or machines.

Classic Machine Learning is used more often in practice than deep learning for many applications like ranking, classification, regression, prediction. Intel is one of the contributors for the most popular frameworks and libraries in this space and puts effort into their efficiency by leveraging oneDAL.

The team will be glad to bring you onboard and help you to learn new technologies in machine learning and data analytics. You will have a unique opportunity to work in the most promising and rapidly developing area of artificial intelligence and become one of the firstest who provide powerful analytics for really big data.

Stack

C++

Responsibilities

  • Exploration, implementation, and optimizations of Graph Analytics algorithms (Page Rank, Jaccard Similarity, Subgraph Isomorphism, and more) for modern Intel architectures (CPU and GPU).
  • Making them scalable, and enable their application to the real customers’ cases and frameworks.
  • Develop and publish case studies and articles exposing the benefits of the algorithms and the integrated optimizations.

Qualifications

  • Experience in C++ including templates and latest standards knowledge.
  • Strong mathematical/stat background.
  • Basic knowledge in machine learning and graph analytics.

Will be considered as a plus:

  • Experience with parallelism in shared (Intel TBB, OpenMP) and distributed (MPI, SHMEM, Apache Spark, Dask) memory.
  • Experience in Python.
  • Knowledge of OpenCL/SYCL/CUDA languages.
Дарья Соколова Talent Advisor
Intel

О компании Intel

Сфера
Продуктовая компания
Размер
1001+

Intel — международная корпорация, которая имеет невероятные возможности повсюду. Московский офис является штаб-квартирой Intel в России по продажам, маркетингу, финансам и связям с федеральными органами власти. Корпорация Intel играет значимую роль в развитии и распространении информационных технологий в Российской Федерации.

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