Forschungszentrum Jülich

Software Engineer – High Performance Computing / Large Scale Neural Language Processing / Machine Learning

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Work with Europe’s largest supercomputer. Develop the largest Machine Learning models. Find new applications of ML that pushes science forward. At the Jülich Super­computing Centre (JSC), we operate one of the most powerful super­computer infra­structures for scientific and engineering applications in Europe. In the project OpenGPT-X, we will develop a large-scale language model for European languages as a foundation for our partners applications. This project is part of the GAIA-X project, a European initiative aiming at an open, transparent data infra­structure. The models and training code will be published and we will contribute to make the Neural Language Processing (NLP) market more independent and Open Source. In the Algorithm Tools and Methods Lab (ATML) – research group “Applied Machine Learning” – at JSC, we develop new ML applications for science with special focus on HPC systems. We identify exciting data sets, develop interesting research questions, train powerful models, and try to push further what is possible with AI.

We are looking to recruit a

Software Engineer – High Performance Computing / Large Scale Neural Language Processing / Machine Learning

Your Job:

As part of the ATML research group Applied Machine Learning, you will develop scalable High Performance Computing techniques that allow training large Machine Learning models on the largest supercomputer in Europe. Your most important tasks will be the scalable training of the model in the OpenGPT-X project. Furthermore, you will apply your Machine Learning knowledge to research problems from various domains, such as Earth and Environment, Remote Sensing, Cosmology, or Molecular Modeling. In more details, your work comprises:

  • Developing a scalable, efficient training algorithm for a large-scale language model in close collaboration with our project partners
  • Identifying and implementing new applications of Machine Learning in science and technology
  • Supporting the work of the lab: discussing opportunities of Machine Learning applications in science, implementing prototypes, and supporting HPC users; engaging in discussion with researchers from various fields
  • Engaging in national and international Machine Learning / Deep Learning communities, most importantly helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit
  • Presenting research results at scientific meetings, conferences, and in the form of scientific papers

Your Profile:

  • Excellent master’s degree or PhD (preferred) in Computer Science, Mathematics, Physics, or a similar field
  • Proven Track Record in AI and Applied Machine Learning, preferably with special emphasis on NLP models
  • Practical experience with High Performance Computing Systems as well as parallel / distributed programming
  • Very good command of written and spoken English and (preferably) fluency in a second European language
  • Practical experience with Machine Learning / Deep Learning workflows and common software libraries
  • Your experience should be documented in research papers and open source code projects
  • Self-motivated personality, curiosity of working in a multi-disciplinary team and environment of scientifically challenging problems

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:

  • Work on frontiers of scientific and technological challenges with access to cutting-edge and unique supercomputing systems including Quantum Computers and Machine Learning supercomputers
  • Opportunity to engage in NLP, one of the most exciting and fast-paced disciplines of Machine Learning, and train the largest and most advanced models
  • Comprehensive training courses and individual opportunities for personal and professional further development
  • Extensive company health management
  • Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
  • Full-time position with the option of slightly reduced working hours and 30 days of annual leave
  • Targeted services for international employees, e.g. through our International Advisory Service
  • A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work

We offer you an exciting and varied role in an international and inter­disciplinary working environment. The position is initially for a fixed term of two years with possible long-term prospects. Salary and social benefits are in conformity with the provisions of the Collective Agreement for the Public Service (TVöD).

Please note that at the same time as this position, a vacancy for a Research Scientist Machine Learning position is published.

Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.

We also welcome applications from disabled persons.

The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your application via our Online Recruitment System!

Questions about the vacancy?

Get in touch with us by using our contact form. Please note that for technical reasons we cannot accept applications via email.


Job details

Software Engineer – High Performance Computing / Large Scale Neural Language Processing / Machine Learning
Wilhelm-Johnen-Straße, Germany
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We conduct research to provide comprehensive solutions to the grand challenges facing society in the three fields of health, energy and environment...

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