Short-term Research Project on Distributed

hace 1 mes

Barcelona, Barcelona, España Telefonica S.A. A tiempo completo

TELEFONICA INNOVACIÓN DIGITAL - DISCOVERY RESEARCH:

Telefonica Innovación Digital - Discovery Research is hiring for a short-term research project focused on Privacy-Preserving / Federated Learning on Mobile/Edge Devices.

Telefonica Innovación Digital - Discovery Research Is a leading industrial research lab based in Barcelona (Spain). The aim of the lab is to carry out research studies on mid to long-term topics related to several technological areas of interest to the Telefónica Group. The Research group follows an open research model in collaboration with universities and other research institutions, promoting the dissemination of their work both through publications and technology transfer. The board is constituted of a multi-disciplinary team with a variety of skills that includes systems, networks, HCI, Machine Learning and Privacy/Security. We are seeking candidates at all levels of seniority for research engineer positions to strengthen and complement our research efforts in the areas Telefonica Innovación Digital - Discovery Research Is currently work on, relating to systems and networks, security and privacy of machine learning, networks, measurements, and beyond.

We are looking for a researcher (close to finishing their PhD or in early stages after the PhD) to join our team of experts who are working in the development of privacy-preserving machine learning solutions. During this short-term project, which can last up to 6 months, the researcher will be responsible for designing and implementing privacy preserving federated learning solutions for Android or other mobile/edge platforms, particularly in low resource settings.

Key Responsibilities:

  • Design and develop privacy preserving federated learning solutions for mobile platforms.
  • Implement state-of-the-art techniques such as differential privacy, secure aggregation, and homomorphic encryption to ensure data privacy.
  • Optimize federated learning algorithms for low resource environments.
  • Collaborate with cross-functional teams to integrate federated learning solutions into existing mobile applications.
  • Conduct experiments and evaluations to assess the performance of federated learning solutions.
  • Stay up-to-date with industry trends and developments related to privacy preserving federated learning and make recommendations for future improvements.
  • Write technical reports and documentation to communicate results to internal and external stakeholders.

Qualifications:

  • PhD (or close to completion) in Computer Science, Electrical Engineering, or related field.
  • Experience in privacy preserving federated learning in mobile platforms, especially in low resource settings.
  • Strong understanding of machine learning algorithms and their implementation on mobile platforms.
  • Strong knowledge and experience in development of high-quality code for research in the area of (distributed) ML, Split Learning, systems & networks for Large ML Models, etc.
  • Experience with privacy preserving techniques such as differential privacy, secure aggregation, and homomorphic encryption.
  • Solid understanding of ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), distributed ML frameworks (e.g., Flower).
  • Preferred candidates will have prior experience in utilizing machine learning on low-end devices (using libraries such as TensorFlowLite), coupled with proficiency in Android development.
  • Strong programming skills in languages such as Java, Kotlin, and Python.
  • Experience with mobile development frameworks such as Android Studio and Xcode.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills to collaborate with cross-functional teams.
  • We are seeking candidates at all levels of seniority.

If you join us, we offer you...

  • Work in a dynamic team and be part of challenging projects that will allow you to play a leading role in the transformation of the company.
  • An interesting package of social benefits (luncheon vouchers, health, life and accident insurance, pension plan, flexible compensation plan...).
  • A flexible working environment with hybrid models of face-to-face and telecommuting.
  • Access to a wide range of continuous learning opportunities for you to grow with us.
  • Participate in volunteering programmes, social actions, international mobility, off-site...

#UnidadesGlobales #CDO

If you join Telefónica

You join almost 100 years of history, a team of 106 nationalities present in more than 35 countries. You join a team that works to connect people wherever they are, without borders. A team that is leading the digital revolution with the enthusiasm of the first day in all our businesses, creating the best digital ecosystem for our clients: Network, IoT, Cloud, Cybersecurity, Innovation, etc. At Telefónica you have everything you need to create the best version of yourself. We need people like you to join this great challenge, who want to create the Telefónica of tomorrow.

At Telefónica we are committed to new ways of working and we are leaders in the implementation of Digital Disconnection under the "Disconnect to Reconnect" principle.

You join a company whose activity is governed by its code of ethics, Our Responsible Business Principles. We are looking for people who identify with them, who help us make decisions based on integrity, commitment and transparency and who are committed to ethical management, promoting fairer and more sustainable social and environmental development.

#WeAreInclusive

We strongly believe diverse and inclusive teams become more innovative and they achieve improved results. Telefonica aims to promote and guarantee a place for everyone, just the way we are: gender, age range, sexual orientation and/or identity, culture, creed, disability or any other personal condition.

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