AI Researcher

24 hours ago


Espoo, Uusimaa, Finland Nokia Full time

About Nokia

Nokia is a technology leader across mobile, fixed, and cloud networks. We are committed to innovation and strive for technology leadership.

Role Overview

The Visual AI Systems Research team is part of the multimedia unit at Nokia, which has been at the forefront of audio and video research and standardization for decades. This role will contribute to the development of future multimedia technologies.

Your Responsibilities

  • You will contribute to the research and development of AI-based multimedia tools.
  • You will design and develop algorithms to improve neural network compression.
  • You will act as a delegate to multimedia standardization forums and represent Nokia.
  • You will publish your research in conferences and journals.

Key Skills and Qualifications

To succeed in this role, you will need:

  • A PhD degree in machine learning, computer science, signal processing, electrical engineering, or a related field, with a minimum of 1 year of industrial work experience after completion of PhD.
  • Strong information theory basis, understanding context models and information coding, strong mathematical and algorithmic design skills, and solid understanding of machine learning, specifically deep neural networks.
  • Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework like PyTorch or TensorFlow.
  • Strong verbal and written communication skills.
  • Background in standardization and innovation.
  • Knowledge of neural network compression.

Bonus Requirements

  • Knowledge of neural video codecs.
  • Understanding of MLOps and knowledge of utilizing such practices.
  • Knowledge of using GPU and CPU computing resources.

About Working at Nokia

We offer a culture of inclusion built upon our core value of respect. We believe that everyone should be empowered to succeed and feel included. Our commitment to inclusion and equality has earned us recognition from organizations like Ethisphere and Bloomberg.



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