Machine learning research lead

☑ Основной блок:

Опыт работы: более 6 лет.

Тип занятости: полная занятость.

График работы: полный день.

Зарплата: по результату собеседования.

Место работы (точный адрес): Россия, Москва, Смоленская площадь, 3.

☑ Актуальность объявления:

Это объявление № 23712146 добавлено в базу данных: Воскресенье, 19 января 2025 года.

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

☑ Репутация компании "HUAWEI":

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☑ Подробности о вакантном месте:

The Huawei Moscow Computing team is looking for an ML Algorithms Research Lead to drive the research, design, analysis and optimizations activities of an in-house distributed ML algorithms framework. In this position, you will function as a technical leader on the ML Algorithms team and you will influence the product development and roadmap.

PROJECT DESCRIPTION

The project is to develop a general-purpose library of ML algorithms for Apache Spark distributed computing platform and compete with industry-level data analysis solutions, such as Spark ML/MLLib, Intel oneDAL, etc. Currnelty, our solution supports a wide range of classical ML algorithms (e.g., linear regression, SVM, kNN, random forest, dimensionality reduction, gradient boosting), and we plan to extend it with more types of algorithms.

The team conducts research, development, idea verification, implementation, and performance optimization of new ML methods and algorithms. We also cooperate with academic partners when deep theoretical research is required. The team is based on algorithm developers, mathematicians, and software engineers with mathematical background; most team members have Ph.D. degree. Currently, we are looking for a technical leader to guide the team in their research and development.

RESPONSIBILITIES

• Lead the overall research process of a team of 5-7 people (researchers, software engineers, and mathematicians): arrange the overall research process efficiently, analyze individual algorithm requirements, prepare research plans for individual projects, conduct independent research and propose new methods / algorithms / technologies, guide individual team members in their research, guide the preparation of high-level technical reports, guarantee the overall quality of team’s research.
• Technically lead several cooperation projects with external academic partners (joint R&D), including statement of work preparation, project milestone planning, regular communications with partners, progress tracking, report assessment, and joint preparation of publications.
• Grasp the cutting-edge technologies and trends in the area of ML algorithms, data analysis algorithms, and big data computing frameworks. Collaborate with the architecture team in the preparation of technology development roadmaps, participate in short- and long-term technology development planning.
• Participate in PoC (proof-of-concept) projects with potential Huawei customers to promote technologies and get customers’ feedback. Conduct joint R&D projects with industrial partners.

REQUIREMENTS & EXPECTATIONS

• Strong interpersonal and communication skills, team-oriented mindset. Be capable of communicating efficiently with software engineers, mathematicians, managers, and external partners. Flexibility to adapt to a dynamic work environment with changing priorities.
• Be capable of conducting high-end research in the big data and ML areas. Understand how to organize the R&D process and be familiar with research methodologies.
• Be capable of preparing international-level scientific publications (preferably, with a proven track of publications and a Ph.D. degree in Math / Computer Science / Engineering).
• Solid mathematical knowledge (linear algebra, probability theory, statistics, optimization theory) and algorithm development skills. Be capable of analyzing algorithm complexity, scalability, and limitations.
• Deep understanding of a wide range of ML and data analysis algorithms. Be considered as an expert in at least two directions. Be familiar with recent and historical trends in data analysis libraries and frameworks, big data processing, ML, data science, and related technologies.
• Hands-on programming experience. Experience in high- and low-level performance optimization. Be willing to learn new programming languages and frameworks.
• Be familiar with large-scale data processing technologies, big data computing frameworks, their internal designs, and performance optimization.

CONDITIONS

? An opportunity to be part of an R&D team of researchers, mathematicians and software developers; most team members have Ph.D. or are Ph.D. students of top Russian universities.

? Attractive compensation package.

? Medical insurance.

? Flexible work hours, no dress code.

? An opportunity to build the product that will be used by millions of people around the world.

? “A” class business center located in the historical part of Moscow (Smolenskaya metro station).

☑ О компании:

Логотип (эмблема, торговая марка, бренд) компании:

Сфера деятельности компании: Электроника, приборостроение, бытовая техника, компьютеры и оргтехника; Телекоммуникации, связь; .

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