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.

Technical Team Manager Search Engine

Huawei Search Team will leverage the best talent and infrastructure to build an industry-leading Cloud Search product that will allow Huawei mobile phone users to search over all their queries with best-in-industry with advanced user experiences, such as intention recognition, that would tremendously increase their experience. Our mission will be accomplished through utilizing advanced technologies to ensure knowledge data discovery and extraction, create intelligent experience, and design a robust data storing, indexing and querying architecture.


You will work with a team of applied scientists and engineers who are responsible for all stages of the search engine including offline page storing/analysis/indexing, online querying/reranking/sorting. Your responsibilities will include technically lead Huawei Petal Search Amsterdam R&D branch, exploring state-of-art solutions covering NLP, ASR, Information Retrieval, Knowledge graph, video semantics, etc. Finishing planned projects like Machine translation, Segmenter, Question Answering, etc, according to global R&D roadmaps. Meanwhile, leading the research activities with local universities , helping constructing long-term competitiveness for Huawei Petal Search globally.


  • MS/BS in CS/EE, mathematical or machine learning related subjects.
  • Strong experiences in researching, designing, implementing and delivering commercial AI projects with models/software (Minimum: 8 years)
  • Proven track records of managing multiple teams.
  • Able to lead/cultivate team technically.
  • Solid knowledge and commercial projects background of Pytorch, Tensorflow, Keras, etc.
  • Experienced in real world large scale searching engine products, especially in multilingual multimodal information retrieval, time/cost efficiency of the algorithms, open-domain knowledge graph, etc.
  • Extensive working knowledge in Python、C、C++ 、Java、Go
  • Research and/or industrial background in machine learning, deep learning, natural language processing, knowledge graph, etc.
  • Willing and Ambitious to challenging world-level touch problems in AI and Search engine.
  • Good communication skills and English speaking, experienced working in a cross-culture and global distributed team

Qualifications considered a pre

  • PhD degree.
  • Working experience in MS Bing, Google Search, Booking or related global search engines.(Minimum: 5 years)
  • Leading professor in TOP academic research organizations in Information Retrieval, NLP, or Knowledge Graph.
  • Published influential papers in ACL、EMNLP、NAACL、COLING、ICLR or related TOP conferences.

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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