Deep Learning Engineer For Language Technologies (Re3)

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. 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., 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 (40 points) and interview phase (60 points). Minimum 30 points required for eligibility. Equal Opportunity Statement

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.

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 24th and 31st December per collective agreement. Starting date