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.
Requirements
Job Description
Benefits
Required:
Abridge
Genies
Dikshatek
Coface
