Research Scientist/Engineer – deep embedded vision - Naver Labs Europe
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18 March 2019
Grenoble, France


NAVER LABS Europe conducts fundamental and applied research in autonomous vehicles, AI, 3D mapping, AR and robotics. We encourage active participation in the academic community and our researchers regularly collaborate with world-class public research groups. We also regularly publish in venues such as CVPR, ICCV, ECCV, TPAMI and IJCV and release datasets for public use, such as our Proxy Virtual Worlds dataset.

We are currently inviting applications from candidates who are excited about contributing to the invention, development and benchmarking of computer vision technologies that can be efficiently embedded in devices such as mobile phones, dashcams, robots and autonomous vehicles to allow for real-time inference. S/he will also contribute to the deployment of these technologies in a number of NAVER flagship products and services.

Required skills

- MSc or PhD degree in computer science.
- Strong development skills, preferably in C/C++ and/or python.

Preferred skills

- Demonstrated success with projects relevant to deploying deep models on low-power and low-memory devices (e.g. deep model compression, GPU kernel optimization).
- Previous research experience in lightweight models and neural architecture search for embedded vision.
- Publications in top conferences/journals.

Application instructions

You can apply for this position online (see below). Don't forget to upload your CV, cover letter and the name of at least one reference before you submit.
Incomplete applications will not be accepted.


NAVER LABS Europe has full-time positions, PhD and PostDoc opportunities throughout the year which are advertised here and on international conference sites that we sponsor such as CVPR, ICCV, ICML, NeurIPS, EMNLP etc. NAVER LABS Europe is an equal opportunity employer.

LABS are in Grenoble in the French Alps. We have a multi and interdisciplinary approach to research with scientists in machine learning, computer vision, artificial intelligence, natural language processing, ethnography and UX working together to create next generation ambient intelligence technology and services that deeply understand users and their contexts.

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