Researcher - Applied AI for Telco Networks and Systems

Telefónica
Telefónica
Madrid, SpainOn-siteCompetitiveAdded 1 month agoInternship

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Connecting the present. Transforming the future.

Have you ever wondered what makes it possible for millions of people to be connected at the same time, from anywhere in the world, without anything failing?

At Telefónica, we make it possible.

We are a global telecommunications and technology company that connects people, businesses, and communities through next-generation networks and advanced digital solutions such as cloud, artificial intelligence, IoT, or cybersecurity.

With a history of over 100 years, we work every day to ensure that innovation is at the service of society, driving a responsible, sustainable digital transformation with real impact.

Here, we don't just design infrastructures, we design the future. We look for people who have curiosity, enthusiasm, and passion for what they do, who are not complacent, and who want to create the Telefónica of tomorrow.

If you are passionate about technology that transforms lives, this is the place for you.

Telefónica's research area focuses on the development of advanced solutions based on artificial intelligence applied to next-generation telecommunications networks (evolved 5G and 6G). Within the Innovation Lab, the Scientific Research group works on building the scientific knowledge that will enable the evolution of future networks, integrating AI, cloud, and edge computing into large-scale telecommunications systems.

The team researches how to design more autonomous, intelligent, and efficient networks using machine learning techniques, big data analysis, and systems optimization, with the goal of improving the performance, reliability, and automation of network infrastructures.

What will be your mission? 🎯

The mission of the area is to drive the transformation of telecommunications networks toward autonomous, intelligent systems that are natively powered by artificial intelligence. Through applied research, the goal is to develop models and architectures that optimize network performance, improve anomaly detection, and enable new digital services.

Additionally, the area aims to connect scientific research with real product impact, facilitating technology transfer toward deployed systems that serve millions of users worldwide.

What capabilities are we looking for in you? 🔎

We are looking for profiles with high analytical capacity and a solid foundation in artificial intelligence applied to complex systems. The ability to work with massive data and extract useful knowledge for the optimization of telecommunications networks is fundamental.

The ability to combine technical knowledge in machine learning with an understanding of network architectures, as well as the skill to collaborate in multidisciplinary international environments, is valued. The ability to communicate technical results clearly to both technical and non-technical audiences is also important.

How will you contribute your capabilities to the purpose of the role? 💼

Develop original research in artificial intelligence applied to telecommunications networks.

  • Design machine learning models for network optimization, anomaly detection, and root cause analysis.
  • Work with large volumes of network data (KPIs, signaling, user behavior).
  • Develop complete data pipelines: processing, feature engineering, training, and model evaluation.
  • Research and integrate AI into network architectures (NFV, cloud-native, network management platforms).
  • Publish results in high-level scientific conferences and journals.
  • Collaborate with engineering teams to transfer research results to real systems.
  • Participate in European projects, international consortia, and standardization activities.
  • Contribute to patents, white papers, and scientific dissemination of research.

What other aspects do we value?📚

  • Interest in autonomous networks, AI-native networks, and network optimization.
  • Participation in research projects or scientific communities.
  • Experience publishing scientific articles as a lead author or relevant collaborator.
  • Capacity for innovation and orientation toward real product impact.
  • Interest in emerging technologies such as edge AI, SDN, Open RAN, or IoT.
  • Proactivity and ability to work in international and collaborative environments.
  • Scientific curiosity and motivation for applied research.

What advantages will you have by being part of our team?💙

  • Transformative projects. At Telefónica, you will be part of high-impact projects that set trends and respond to the connectivity and digital transformation challenges of our society.
  • Professional development. You will have a long journey and learning on a global scale, thanks to our presence in different geographies. We will share opportunities for development, training, and mobility options. We want to grow and build a future with you!
  • Flexibility. We believe in the balance between professional and personal life. At Telefónica, we prioritize flexibility, positioning ourselves as a benchmark in new ways of working and work-life balance measures.
  • 27 working days of vacation to enjoy.
  • Social benefits. You can enjoy a wide package of social benefits, including:
    • Life and accident insurance
    • Medical insurance for you and your family unit (spouse and children)
    • Meal voucher card
    • Flexible remuneration plan with numerous options to choose from.
    • Pension plan

And much more!

#GlobalUnits

At Telefónica, we are committed to building a diverse, inclusive, and sustainable work environment where every person feels valued, respected, and free. Our culture is based on equal opportunity and inclusion, because we have the responsibility to transform society and make a better world.

If you want to be part of an innovative team and contribute to a better future, we are waiting for you!

Need a visa? No sponsorship mentioned here. Browse visa jobs