Machine Learning Engineer for Language Technologies
Role details
Job location
Tech stack
Job description
The LT Laboratory at BSC is looking for a Full-stack Machine Learning /Deep Learning Engineer/Developer, with experience in Language Technologies, specifically in Machine Learning and Large Language Model deployment and fine tuning, as well as front-end and back-end web development to contribute to its efforts at widespread adoption of modern AI technologies for Iberian languages.
The successful candidate will work in a highly sophisticated HPC environment, have access to state-of-the-art systems and computational infrastructures, and establish collaborations with experts in different areas at the local and international levels. Key Duties
- Design and implement proof of concept NLP applications using LLMs and other AI resources.
- Prepare model training and fine-tuning in HPC clusters.
- Curate training and benchmarking datasets to measure application performance.
- Evaluate the quality of the models and datasets.
- Document and publish the models on open platforms., * 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
- Degree in Computer Science, Telecommunications, Applied linguistics or related disciplines. Having a Master's degree will be valued.
- Essential Knowledge and Professional Experience
- Demonstrated experience of at least 3 years in deep learning or ML frameworks and in the relevant area(s).
- Demonstrated experience coding NLP applications in Python and other programming languages.
- Knowledge of version control tools and best practices.
- Native or good level of spoken and written English and Catalan and/or Spanish.
- Additional Knowledge and Professional Experience
- Demonstrated experience in developing open-source software and resources.
- Demonstrated experience in working in dynamic ML teams.
- Familiarity with Transformers, Gensim, Gradio, Hugging Face environment, Pytorch, Langchain and other NLP, UI and ML libraries.
- 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 Life Sciences Department
- We offer a full-time contract (37.5h/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
