Research Engineer - Deep Learning Models for Speech
Role details
Job location
Tech stack
Job description
The team is seeking a Machine Learning Engineer with experience in speech technologies, particularly in deep learning and model development for tasks such as speech recognition, speech synthesis, and LLMs. The successful candidate will join the Speech Team, work within a highly advanced HPC environment, gain access to state-of-the-art systems and computational infrastructure, and collaborate with experts across multiple disciplines at both local and international levels. Key Duties
- Design and implement deep learning models for speech-related tasks.
- Prepare model training in HPC clusters.
- Ensure the quality of the training data and models.
- Document and publish data, code and models on open platforms.
- Supervise licensing and intellectual property of data and models in the speech team.
- Participate in the application for research projects and in the management of the ongoing ones.
- Write research papers and project deliverables.
- Mentor junior ML engineers., * A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es. For more information, please follow this link.
Requirements
- Education
- Master's Degree in Computer Science, Telecommunications, Computational Linguistics or related disciplines.
- Essential Knowledge and Professional Experience
- Demonstrated experience of at least 2 years in machine learning.
- Demonstrated experience of at least 2 years in deep learning frameworks and in the relevant area(s).
- Demonstrated experience in speech or audio processing.
- Native or good level of spoken and written English.
- Programming skills: Linux, Python, Deep learning libraries, git
- Additional Knowledge and Professional Experience
- Demonstrated experience in developing open-source software and resources.
- Demonstrated experience in working in dynamic ML team.
- Native or good level of spoken and written Catalan and/or Spanish.
- Strong understanding of linguistic concepts.
- Competences
- Ability to work independently and in a team to complete tasks on schedule.
- Ability to work under set deadlines.
Benefits & conditions
- The position will be located at BSC within the Directors Department
- We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: ASAP