от компании (организации): BOSCH в городе (населённом пункте): Химки, Россия
в отрасли экономики "Наука, образование" → "Инженерные науки"
с заработной платой: по договоренности
Вакансия № 11369307 добавлена в базу данных сайта Работа в Москве и Московской области (МО, Подмосковье): Среда, 25 сентября 2024 года.
Дата обновления вакансии № 11369307 на сайте Работа в Москве и Московской области (МО, Подмосковье): Четверг, 14 ноября 2024 года.
Обращаем Ваше внимание, что на момент обращения к работодателю вакансия № 11369307 может быть уже занята. Администрация сайта Работа в Москве и Московской области (МО, Подмосковье) приносит извинения за доставленные неудобства.
Требования к опыту работы:
3–6 лет
Тип занятости:
полная занятость
График работы:
полный день
Дополнительные сведения о вакансии: Machine Learning Research Engineer
Do you have deep experience in machine learning and mathematics? Then we can offer you exciting challenges: make car braking systems more durable, coffee machines automated, engines less noisy and pollutant, and electrical machines more efficient.
Machine Learning Research Engineer in Research and Technology office
At Research and Technology Office (RTO-RU) in Bosch Russia, we are looking for a skilled senior machine learning engineer who will solve tasks on intersection of cutting-edge machine learning methods with traditional mathematical approaches and supervise Master’s and PhD students.
At RTO-RU, we solve various research tasks: from data analysis of braking events of thousands of cars to the combination of neural networks with iterative methods for fluid dynamics. We have very close collaborations with Bosch Corporate Research and Business units in Germany as well as with leading Russian professors in Moscow and Saint Petersburg. That leads to various interdisciplinary topics where smart mathematical solutions can solve the tasks that were previously solved by standard engineering approaches.
You will have a possibility to lead the full machine learning pipeline, starting from task formulation and ending with application of state-of-the-art mathematical algorithms and transfer of results to make sure that the research work is beneficial for Bosch’s business. As a member of RTO-RU, you will be able to patent and publish selected research results in international journals. We also encourage supervising Master’s and PhD students because they are flexible and can generate unordinary ideas and solutions.
Responsibilities:
- Working on joint projects with local and international partners, e.g. our Corporate Sector Research and Advance Engineering in Germany or Bosch Business Units worldwide
- Run a full-scale ML project pipeline: intro to industry, task formulation, consulting with data recording and collection, supporting the hiring process of interns and juniors, leading data processing and task solution with advanced ML methods, clarifying KPIs, transferring the results, publishing/patenting
- Supervising Master’s and PhD students
Requirements:
- Required working experience: 3-4 years or PhD;
- Deep knowledge in applied mathematics;
- Broad experience in machine learning and statistics, especially deep learning – both theory and practice;
- Experience in application domains, such as image recognition and multivariate time series analysis;
- Excellent programming skills in Python, good knowledge in C++ is desirable;
- Broad experience with standard frameworks and libraries for data science in Python (PyTorch, Keras, numpy, scikit-learn)
- Fluent English;
- Experience in international project teams or companies;
- Result orientation, leadership, strong soft-skills
Conditions:
- Full-time employment
- Modern Class A office in Khimki
- Corporate transport from Rechnoy vokzal, Planernaya metro stations and Khimki railway station
- Regular business trips to Saint Petersburg and Germany (Stuttgart area)
- Health and accident insurance
- Mobile and lunch compensation
- Underground parking for company employees
- Corporate gym
- Discounts on the company's products
Откликнуться на эту вакансию: Machine Learning Research Engineer
Предыдущая вакансия:
Вакансия № 11369304 на должность Главный специалист по эксплуатации инфраструктуры (техподдержка) от компании Норильский никель, ГМК в городе (населенном пункте) Москва