Deep Learning Engineer for Language Technologies (RE3)

Apply for the Deep Learning Engineer for Language Technologies (RE3) role at Barcelona Supercomputing Center.

Job Reference: 677_25_LS_LT_RE3

Closing Date: Thursday, 27 November ****

Location: Barcelona Supercomputing Center, Life Sciences Department.

About BSC

The Barcelona Supercomputing Center (BSC-CNS) is the leading supercomputing center in Spain, housing MareNostrum and hosting EuroHPC JU initiatives.

BSC focuses on research, development and management of information technologies to facilitate scientific progress.

We promote Equity, Diversity and Inclusion and actively encourage applications from women and underrepresented groups.

Context and Mission

The Language Technologies Laboratory at BSC consolidates experience in NLP areas such as massive language model building, biomedical text mining, machine translation, and unsupervised learning for under-resourced languages.

The lab is funded by national and EU projects including ALIA, AINA, and other initiatives.

The lab seeks a research engineer focused on language technologies, with expertise in deep learning and large language model development, and potentially other NLP and speech processing areas.

Key Duties

Collaborate with group members on design and development of solutions to meet research project goals.

Engage stakeholders to understand challenges and available data, formulating valuable solutions.

Generate and evaluate language models using deep learning techniques.

Collaborate with internal and international stakeholders.

Manage corpora and language data per the lab's data management plan.

Ensure model quality and compliance.

Lead projects or activities.

Apply for research projects.

Write research papers.

Requirements

Education: PhD in Computer Science, Telecommunications, Applied Linguistics, or related disciplines.

Essential Knowledge And Experience

Experience with deep learning frameworks and relevant domains.

Corpus annotation and linguistic resource development.

Data administration and management (transfer, storage, analysis, distribution, exploration).

Project leadership.

Version control tools and MLOps best practices.

Research experience.

Test-Driven Design/Development.

Fluency in spoken and written English.

Native level Spanish; strong linguistic knowledge.

Additional Knowledge

Open-source software development.

AI techniques theory.

Continuous Integration/Delivery/Deployment tools (GitLab CI, GitHub, Docker, Ansible).

Research dissemination, paper writing.

Native or good level Catalan.

Competences

Independent and team-oriented work.

Exploration of new research lines.

Strong communication and presentation skills.

Deadline-driven work.

Conditions

Full-time contract (37.5 h/week), located in Life Sciences Department.

Competitive Salary Commensurate With Qualifications.

Benefits: Flexible hours, extensive training, restaurant tickets, private health insurance, relocation support.

Duration: Open-ended due to project and budget.

Holidays: 23 paid vacation days plus 24 th and 31 st December per collective agreement.

Starting date: 01/12/2025.

Applications Procedure

Submit applications via the BSC website.

Include

Full CV in English with contact details.

Cover/motivation letter in English specifying specific area and topics, and two references for contact.

Applications lacking these documents will not be considered.

Recruitment Process

The selection follows a competitive examination system with two phases:

Curriculum Analysis – evaluation of experience, degree, training, and professional information (40 points).

Interview phase – technical and personal competencies (60 points).

Minimum 30 Points Required For Eligibility.

The panel includes at least three members, with at least 25 % women representation.

Final decisions include feedback to all participants.

For any recruitment process queries, contact ******.

BSC-CNS is an equal opportunity employer committed to diversity and inclusion.

All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or other protected characteristic.

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