Research Project on Context-adapting Semantic Learning for Large Speech and Language Models

Telefonica S.A.; Barcelona; Híbrido; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

Telefonica Innovación Digital is seeking a Research Engineer to develop and implement cutting-edge applications for speech and language models. The role involves enhancing user experiences through machine learning solutions and delivering scalable speech processing systems for applications like virtual assistants. Join a dynamic team with a focus on research excellence and social responsibility.

Servicios

Dynamic team environment

Social benefits package

Flexible working arrangements

Continuous learning opportunities

Participation in social actions and international mobility

Formación

• MSc. in Computer Science, Electrical Engineering, or related field required.
• Proficiency in machine learning algorithms and programming languages is crucial.
• Strong communication and collaboration skills needed.

Responsabilidades

• Develop and deploy solutions for keyword spotting and speech recognition using deep learning.
• Conduct experiments to optimize algorithms for low-resource environments.
• Collaborate with international teams on integrating solutions.

Conocimientos

Digital Signal Processing

Machine Learning Algorithms

Programming in Python

Proficiency in PyTorch

Strong Communication Skills

Interpersonal Skills

Educación

MSc. in Computer Science

MSc. in Electrical Engineering

MSc. in a related field

Descripción del empleo

Telefonica Innovación Digital - Discovery Research is hiring for a research project focused on developing and integrating applications related to context learning for large speech and language models.

We are looking for a Research Engineer to join our team of experts who are working in the development of machine learning solutions to contribute to enhancing user experiences. During this project, the candidate will be responsible for implementing and deploying context-adapting learning solutions using deep learning-based speech and language models. The machine learning techniques employed will help build powerful and adaptive speech and language models capable of handling complex linguistic phenomena in unstructured dialogues. These solutions will also aid in developing advanced voice assistant systems, capable of recognizing and aligning with users’ context and preferences across various environments with high accuracy. The overall goal is to create highly scalable and robust speech/language processing systems that deliver highly personalized, trustworthy, and contextually relevant results for applications such as customer service, virtual voice assistants, and related domains.

Telefonica Innovación Digital - Discovery Research is a leading industrial research lab based in Spain. At Telefonica Research, we follow an open research model in collaboration with universities and research institutions, promoting the dissemination of scientific results through publications in top-tier peer-reviewed international journals and conferences, as well as technology transfer. Our multidisciplinary and international team includes several full-time researchers and engineers with MSc. and PhD degrees in computer science, electrical engineering, and related disciplines.

Key Responsibilities :

• Develop and deploy personalized and context-adapted solutions for keyword spotting, automatic speech recognition, and large language models based on deep learning techniques.
• Implement state-of-the-art methods such as semantic knowledge graphs, privacy-preserving learning, and early-exit architectures to ensure context adaptation, human-preference alignment, data privacy, and federation of heterogeneous speech/language deep learning architectures.
• Conduct experiments and evaluations to assess solution performance and optimize algorithms for deployment in low-resource environments.
• Stay up-to-date with industry trends in computational linguistics, speech, and language models, and propose recommendations for future improvements.
• Collaborate with cross-functional international teams to integrate speech and language solutions into existing platforms and applications.
• Write technical reports and documentation to communicate results to internal and external stakeholders.

Qualifications :

• MSc. in Computer Science, Electrical Engineering, or a related field.
• Strong understanding of digital signal processing and machine learning algorithms, such as short-time Fourier transforms, Fast Fourier Transforms, encoder-decoder, or transformer architectures.
• Proficiency in programming languages such as Python and PyTorch.
• Strong communication and interpersonal skills for effective collaboration with cross-functional teams.

If you join us, we offer you...

• Work in a dynamic team on challenging projects that will enable you to play a leading role in the company's transformation.
• An attractive package of social benefits (lunch vouchers, health, life and accident insurance, pension plan, flexible compensation plan, etc.).
• A flexible working environment with hybrid models of face-to-face and remote work.
• Access to a wide range of continuous learning opportunities for your growth.
• Participation in volunteering programs, social actions, international mobility, off-site activities, etc.