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ML Research Engineer

Требуемые навыки

Бэкенд · Машинное обучение · Scala

Местоположение и тип занятости

Москва · Полный рабочий день

Компания

Pioneering innovations in high-load digital advertising since 2001

Описание вакансии

IPONWEB is looking for a developer with an interest in machine learning to join us in experimental research of machine learning algorithms in the field of programmatic marketing, implementation of these algorithms and surrounding infrastructure for production environments.

    You will be dealing with:

    • an assortment of optimization problems for various agents in programmatic marketing systems (RTB auctions);

    • datasets typically containing millions of events per day (and more);

    • various algorithmic challenges in the field of machine learning: feature engineering and selection, hyperparameter optimization, exploitation vs. exploration and bias vs. noise tradeoffs and much more;

    • systems which aim to continuously apply these algorithms in a robust, scalable and adaptable fashion;

    • short- and long-term financial effect as the ultimate measure of any algorithms efficiency.

    Our ideal candidate is:

    • experienced in designing and implementing computational and data processing algorithms (especially in machine learning);

    • experienced in adapting and tuning machine learning algorithms for a specific problem;

    • strong in Spark, Scala/Python and/or C++;

    • familiar with basic calculus, probability theory and machine learning theory.

    We offer you

    • An excellent career opportunity with a High Tech International company – One of the leading companies in the RTB and Programmatic Marketing Industry

    • Open and approachable management team with a strong engineering DNA (80% of Moscow office - engineers, managers and executives have a technical background)

    • Many internal pathways for career development and professional growth, supported by a performance review system;

    • Respect for independent thought and freedom of actions

    • Competitive salary and comfort;

    • Core office hours are 12-18, and outside of that you have full flexibility

    • An option to work remotely sometimes (VPN and other services for remote work are available)

    • Medical insurance

    • Internal and external education program

    • English courses compensation

    • Relocation program from any region of Russia to the Moscow office

    • Referral bonus system

    • Fruits, vegetables, cheese, nuts, cookies and cakes, snacks and beverages at every coffee point and more.

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