Huawei is a leading telecom solutions provider. Through continuous customer-centric innovation, Huawei has established end-to-end advantages in Telecom Network Infrastructure, Application & Software, Professional Services and Devices. With comprehensive strengths in wireline, wireless and IP technologies, Huawei has gained a leading position in the All-IP convergence age. Its products and solutions have been deployed in over 100 countries and have served 45 of the world's top 50 telecom operators, as well as one third of the world's population.

Algorithm Engineer - Map Search Ranking

We are looking for an Algorithm Engineer - Map Search Ranking to join our Map team in Amsterdam.

Fail fast is a motto that Huawei staff around the world has lived by for decades. In Amsterdam we are working on one of the most ambitious projects in the history of Huawei. We are building an ecosystem of map products on par with well-known competitors, and we are building with unprecedented speed. The Amsterdam team contributes with innovations. We invent and create prototypes of features that will shipped in the next release of our map app, map sdk, and map partner platforms. We follow the state of the art and we strive to surpass it.

Joining our team is the start of an intense journey. To say that our environment is dynamic, is an understatement. Our challenge requires all members to work together and to be pro-active. We are encouraging initiative and leadership. If you want to lead the way we offer you plenty of room. We highly value team work, which shows in the way we organize projects and research. We have regular code reviews, we adhere to style guides and we make use of unit tests, integration tests and CI/CD. Every week we host reading groups, lectures and discussions in the areas of mapping, computer vision, and NLP. Further it is possible to visit scientific conferences. We are an international team, hoping to onboard the 15th nationality by the end of the year.

In this role you will:

  • Builds the LTR model for European language-based map search, and performs automatic corpus marking and model optimization based on user logs.
  • Be responsible for text, semantic, click, and spatial correlation feature engineering.
  • Continuously follow up the development of relevant technologies in academia and industry, and explore the application and implementation of industry-leading technologies in services.

Minimum qualifications

  • Bachelors or Master’s degree in Computer Science or related field
  • At least three years of search engine development experience;
  • Have an in-depth understanding of machine learning and data mining algorithms, and be familiar with the principles and applications of classic algorithm models.
  • Excellent problem-solving ability, learning ability, and teamwork awareness
  • Familiar with search technologies, machine learning, deep learning algorithm, and deep learning framework platforms such as TensorFlow and Python.
  • Be familiar with Java, C++, and Python development languages and have good coding skills and habits.

Your application will be evaluated by the HR department of Huawei R&D Sites in Belgium and the Netherlands itself. For any additional feedback regarding your application, we kindly refer you to the Huawei R&D Sites in Belgium and the Netherlands HR department.


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