Technical lead R&D

Вакансия № 10974214 от компании IPONWEB Ltd (UK) на Электронной Службе Занятости Населения Москвы.

✷ Смотрите другие предложения работы от компании IPONWEB Ltd (UK).

☑ Основной блок:

Опыт работы: 3–6 лет.

Тип занятости: полная занятость.

График работы: гибкий график.

Зарплата: по результату собеседования.

Примерное место работы: Россия, Москва.

☑ Актуальность объявления:

Это объявление № 10974214 добавлено в базу данных: Вторник, 11 февраля 2025 года.

Дата его обновления на этом интернет-ресурсе: Вторник, 18 марта 2025 года.

☑ Статистика предложения работы № 10974214:

Прочитано соискателями - 127 раз(а);
Отправлено откликов - 0 раз(а);

☑ Репутация компании "IPONWEB Ltd (UK)":

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☑ Подробности о вакантном месте:

IPONWEB is an AI, data & engineering company. We solve complex challenges around building real-time advertising platforms at scale. We excel in the challenging applications of real-time decision-making, yield management, algorithmic optimisation, big data processing and machine learning technologies to solving business problems.
We offer unparalleled experience, highly established delivery & support processes and proven, scaled, best-in-class technology performance for our clients.

IPONWEB is looking for a technical lead with a deep understanding of machine learning to join our R&D supply team. Supply is a part of RTB ecosystem that helps online publishers manage their advertising space inventory, fill it with ads, and receive revenue. Here we use machine learning and auction theory to design ad selling auctions, predict actions of participants of the auctions, predict click rates and view rates of various ads, decide who will get to show the ad at which price and maximize the seller’s income. We also do automatic content classification of the websites to find related to desired topics and sell them for a higher price, or undesired topics and ban those.

RnD team solves the following problems:

Talk to business to understand the business problems in details;
Translate a problem into mathematical language and find a solution for it;
Prepare the data, which may be billions of records, and carry out offline experiments, using machine learning, to validate the solution;
Validate the solution;
Once the solution is validated, help business and developers implement the solution;
Design and carry out online A/B tests to verify that solution works.

Your tasks:

Well understanding of biz context;
Suggest complex approaches to complicated problems based on requirements;
Take part and lead the team research;
Ensure solution quality;
Take part and lead R&D part of meetings with clients;
Mentor and lead technically your colleagues.

What we can offer:

You will become a part of online advertising industry and understand its business better;
You will learn how modern mathematical and technological ideas are used to solve real-life problems;
You will work with a huge amount of data and apply cutting-edge solutions and technologies;
You will dive into the details of the solutions we develop and the reasoning behind them;
Results of your work will immediately affect the business.

Expectations from the candidate:

At least 4 years of work experience as an analyst, data scientist or comparable;
Good knowledge of probability theory;
Good communication skills (spoken and written English).

Our ideal candidate is:

Experienced in mentoring and guiding colleagues;
Experienced in applying machine learning algorithms;
Experienced in writing data processing code (bash or python);
A participant of All-Russian math olympiad or equivalent.

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, management 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;
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.