AI/ML Model Developer for Flow Scheduling

il y a 2 semaines


Massy, Île-de-France Nokia Temps plein
Unlock the Future of Network Scheduling

Nokia is at the forefront of innovation, pioneering the future where networks meet cloud. As a researcher in our esteemed Nokia Bell Labs, you will have a profound impact on the world by contributing to the development of cutting-edge technologies that underpin information and communications networks.

We are seeking a talented AI/ML model developer to join our team and help us tackle the complex flow scheduling problem. Your expertise in machine learning and neural networks will be instrumental in designing and implementing advanced algorithms that optimize network performance.

As a member of our team, you will have the opportunity to work on a wide range of projects, from developing novel AI/ML models to experimenting with and comparing different approaches. You will be part of a dynamic and inclusive environment where your ideas are valued, and you are empowered to take risks and bring your authentic self to work.

Our research department involves 12 highly skilled researchers in France and the US, working in a multi-cultural environment to solve the delay problem. We have proposed the concept of Strict Deterministic Networks (St-DetNet), a packet network technology that delivers data within strict deadlines over IP/Ethernet networks.

The objective of this internship is to develop, experiment with, and compare several AI/ML models for the flow scheduling problem. You will learn to construct scheduled data flows for different network topologies and strict time constraints using graph neural networks (GNNs) and large language models (LLMs).

What you will learn and contribute:

  • Develop and implement advanced AI/ML models for flow scheduling
  • Experiment with and compare different approaches to optimize network performance
  • Contribute to the development of cutting-edge technologies that underpin information and communications networks

Requirements:

  • Solid experience in ML and neural networks
  • Good programming skills, preferably in Python: experience with neural network libraries such as PyTorch, Tensorflow, or Keras is highly recommended
  • Knowledge of operations research, optimization techniques, and previous experience with scheduling problems is a plus

Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs, and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer. We have received the following recognitions for our commitment to inclusion & equality:

  • One of the World's Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark
  • LGBT+ equality & best place to work by HRC Foundation


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