ML Engineer/Data scientist

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Требуемый опыт работы: 3–6 лет

Полная занятость, полный день

Position: ML Engineer/Data scientist

Expected grade: Leading or above

Project’s brief description: ML-driven C++ code optimization of Android firmware

Tasks description:

  • Research and implement ML algorithms to process C++ code

  • Research C++ code features extraction

  • Decide on the training set

  • Research performance issues of ML algorithms implementation

  • Analysis of competitive ML solutions

Education:

  • BA/BS in Applied Mathematics, Applied Statistics, Computer Science or similar

Mandatory requirements:

  • 3 years of practical experience with common Neural Network / Deep Learning platforms (Tensorflow, PyTorch/Caffe2) in a production environment

  • Understanding and hands-on experience with “classic” Machine Learning (k-NN, Naïve Bayes, SVM, decision forests, etc.) and genetic ML algorithms

  • Experience with NLP technics (embedding, word2vec, bag-of-words, etc.)

  • Basic knowledge of C/C++

  • Knowledge of data structures and algorithms complexity

  • English (to write documentation and communicate with HQ by email)

  • Full-time employment

Would be a plus:

  • Knowledge and experience in structured prediction (structured SVMs, graph neural networks, etc.)

  • Experience with NN-based NLP (LSTM, etc.)

  • Experience in SW development (C/C++/Java)

  • Understanding of software design patterns (GoF)

  • Understanding of compiler internals (e.g. LLVM) and code optimizations, experience with code parsers

  • Deep understanding of computer system architecture

  • Scientific background (PhD, patents, papers)

Work conditions:

  • Contribution to Samsung flagship phone models

  • Competitive salary

  • Convenient location of A-class office: between m. Maryina Roshcha / Savelovskaya

  • Flexible working time

  • Full compliance with Russian Labor Code

  • Corporate discount on company goods

  • Lunch compensation (450 R)

  • Medical and life insurance

  • 7 days of fully paid sick leaves (including days without sick leave certificate)

  • Fitness room, shower, swimming pool, table tennis, badminton, football, yoga

Ключевые навыки

PythonTensorflowPyTorchmachine learningcaffe2geneticNLPNaive BayesparserSVMC++

Контактная информацияКонтактная информация

Tarasova Kristina

+7 (495) 797-24-72

k.tarasova@partner.samsung.com

Адрес

Савеловская, Москва, Двинцев, 12, корпус 1

Вакансия опубликована 14 октября 2019 в Москве

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