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Master’s Thesis or Internship

Infos sur l'emploi

  • Date de publication :11 février 2025
  • Taux d'activité :100%
  • Lieu de travail :Zurich
  • Estimation salariale de jobs.ch:Se connecter pour voir l’estimation de jobs.ch

Résumé de l'emploi

Stage ou mémoire de Master chez IBM Zurich, leader en recherche.

Tâches

  • Développer des modèles d'IA générative pour l'optimisation des données.
  • Collaborer avec l'équipe d'Intégration des Données pour des solutions innovantes.
  • Appliquer des techniques avancées en ML/AI sur des systèmes de gestion de données.

Compétences

  • Master en informatique ou ingénierie requis, compétences en ML/AI.
  • Excellentes compétences en programmation, Python de préférence.
  • Capacité à travailler dans un environnement Linux avec outils de développement.

Est-ce utile ?

Master’s Thesis or Internship

IBM Zurich Research Laboratory
Workplace Zurich, Zurich region, Switzerland Category
Computer Science
Position
Trainee
Published 10 February 2025
Internship or Master’s Thesis

Generative AI Models for Composable Data Management Optimizers

Ref. 2025_002

A master’s student or intern position is available for a candidate with a passion for bringing innovative gen AI techniques into the world of data platforms and composable data management systems, a positive and problem-solving attitude and the willingness to undertake challenging tasks. The candidate will join for a period of 6 months (internship or master’s thesis) the group of AI for Data Integration at IBM Research Zurich.

Composable data management systems have been recently proposed by the databse community as the way forward to decouple user workloads (expressed as SQL, low-code/no-code, Python, natural language, etc.) from the various execution engines underneath. Our team is working to build a cross-engine optimizer that is able to abstract any user workload, independent of its API, and use gen AI methods to learn which engine fits best for that workload while optimizing for cost-performance, and considering dataset statistics, workload characteristics, provisioning, as well as engine configuration. Our team pushes this frontier with a culture of innovation, focusing on the creation and consumption of high-quality science.

Qualifications

  • Enrolled or in possession of a Master’s degree in computer science or engineering (for master’s thesis)
  • At least a Bachelor’s degree in computer science or engineering (for internship)
  • Strong ML/AI knowledge
  • Excellent coding skills, Python preferred
  • Familiarity with Linux environments and software development tools (git/GitHub, IDEs, etc.)
  • High amount of creativity and outstanding problem-solving ability



Preferred Qualifications

  • Experience with graph neural networks
  • Experience with Spark, Velox, Presto
  • Experience with SQL, cardinality estimation, Substrait
  • Excellent oral and written English with good presentation skills
  • Strong interpersonal skills and excellent written and verbal communication



Diversity

IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.

How to apply

Please submit your CV including contact information for two or three references. We encourage candidates to also share a 3-minute video, in which they introduce themselves, as well as highlight their motivation and expertise. The video is not mandatory.
In your application, please refer to myScience.ch and referenceJobID66502.

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