We're looking for an experienced NLP & Search research engineer to work within AppGallery Search & Recommendation projects.
AppGallery is a package manager and application distribution platform, or marketplace 'app store', developed by Huawei for the Android operating system. AppGallery is used by 400+ million active users on 700+ million Huawei devices. Our team in Turkey is responsible for improving the AI driven search & recommendation capabilities of the application for the Asia, Africa, Latin America, Europe and Russia markets.
What can you expect in this role?
As a part of our research team you'll work with talented researchers and developers at every level to improve our search and recommendation solutions within AppGallery. This role allows you to directly affect user experience of millions of AppGallery users.
You'll have a chance to thrive in a multinational environment where you can work closely with other colleagues from China, Singapore and Ireland teams. Within this role you can expect to carry out following tasks;
- Design, develop, and optimize retrieval models (RMs) for efficient and accurate search functionality in app store domain.
- Implement NLP techniques and train, evaluate (offline & online), optimize deep learning models to enhance semantic search capabilities.
- Design, build and deploy scalable ML services on Huawei's MLOps platform to address business requirements.
- Collaborate with cross-functional teams to analyze complex data requirements and design innovative software solutions.
- Conduct code reviews to ensure high-quality, maintainable, and efficient code following industry best practices.
- Mentor and guide junior engineers in the areas of search, information retrieval, deep learning, and NLP.
- Stay updated with the latest advancements in search, information retrieval, deep learning, and NLP, and integrate them into our products and services.
- Produce academic outputs in the form of papers, patents, and technical talks.
What are the qualifications to fit the role?
- Minimum MS degree or PHD degree with focus on NLP, IR and DL, preferably in a computer science & engineering or related fields.
- Minimum 3 years of experience preferably in industry.
- Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
- Experience with popular deep learning frameworks (TensorFlow, PyTorch) and NLP libraries.
- Publication records in journals or conferences related with NLP especially in the areas of vector search, dense retrieval, semantic search.
- Experience in integrating retrieval models (RMs) for large-scale search engines using these specialized techniques.
- Previous project experience in search or recommendation systems domain is a big plus.
- Java service development experience using Spring and related topics & technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)
- Fluency in English is important, reading/writing skills in Russian and/or Arabic is a plus.
Am i right for the team?
- If you're excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data, you can be perfect fit for the task at hand.
- If you're easy to communicate, open for suggestions and improvements, can work independently, pro-actively and well aligned then you can be perfect fit for our team culture.
Top Skills
What We Do
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.
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