Petal Maps is a unique map app that lets you explore the world around you in new ways. Available in over 160 countries and regions, it provides real-time traffic conditions, lane-level guidance, nearby services, various map layers, traffic events, place favorites, and loads more.
We are looking for a freshly graduated natural language processing research engineer for the Petal Maps NLP research and development team. Your responsibility will be to build high accuracy and low latency NLP systems for the Petal Maps app using a combination of rule-based systems, algorithms, classical machine learning models and deep learning models. This includes exploratory data analysis, literature review, design, coding, training, evaluation, debugging and collaborating with the production team as your prototypes are inserted into production code.
You will get a chance to develop yourself in the latest natural language processing, machine and deep learning technologies, and work in an international company in a major multi-team project. You will be joining a highly motivated team in which your efforts directly affect the team’s capability and the development of the maps product itself.
This is not a remote position, you are expected to work from one of Huawei’s R&D offices located in Istanbul, Ankara, or İzmir. Do note that this position requires significant skills and knowledge in programming. People who are beginners or do not know how to code need not apply.
Job Description
- Work with cross-functional teams to ensure the accuracy and quality of the research outputs
- Proactively meet other researchers to propose and design tractable and efficient solutions
- Follow latest technologies and algorithms in the literature and apply them to the project
- Implement your solutions in a well written and reviewed modular code base
- Train, evaluate and debug machine and deep learning models
- Analyze and explore training data as well as model outputs
- Work closely with Arabic Native Speakers to analyze and evaluate the outputs of the algorithms
- Run code reviews and write unit tests
Required:
- English: professional level
- Citizenship: Turkey
- Bachelor's degree in Computer Science or other related engineering fields.
- NLP experience including but not limited to spelling correction, text classification, token classification (NER, PoS etc..), machine translation
- Experience with classical machine learning and deep learning as applied to NLP.
- Ability to design, train and debug models as opposed to just using existing pipelines.
- Experience with scikit-learn, and one of pytorch or tensorflow (excluding keras)
- Ability to read research papers and follow the literature
- Good python programmer
- Strong communication skills
- Focused on delivery and customer first
- Adaptive; responsive for on-demand changes
- Dedicated; working hard to finish tasks on-time with high quality
- Open; collecting feedbacks and defining actions for self-improvement
- Strong issue analysis and problem solving skills are essential
Useful to have:
- Arabic: native or fluent
- Turkish: professional level
- Previous experience with Arabic NLP.
- Previous NLP research experience (academic or industrial)
- Published papers in NLP
- Good at designing algorithms.
- Can code in Java, C/C++
- Having experience in Docker environment operation and maintainance
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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