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  • Software Engineer - High-Performance Computing / Large-Scale Neural Language Processing / Machine Learning (f/m/d)

    2022-05-04 Forschungszentrum Jülich GmbH Jülich Software Engineer - High-Performance Computing / Large-Scale Neural Language Processing / Machine Learning (f/m/d) - Forschungszentrum Jülich GmbH - Logo
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Software Engineer - High-Performance Computing / Large-Scale Neural Language Processing / Machine Learning (f/m/d)

Published
2022-05-04
Application deadline
2022-05-31
Full-time position
Forschungszentrum Jülich GmbH
Jülich
Logo - FZ Jüich
bild - FZ Jüich

Conducting research for a changing society: This is what drives us at Forschungs­zentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,100 employees in one of Europe’s biggest research centres and help us to shape change!

Work with Europe’s largest supercomputer. Develop the largest machine learning (ML) 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 Market more independent and open source. In the Algorithm Tools and Methods Lab (ATML) “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 “Applied Machine Learning”, you will develop scalable high-performance computing techniques that allow training large ML 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 ML 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 application of ML in science and technology
  • Supporting the work of the lab: discussing opportunities of ML applications in science, implementing prototypes, and supporting HPC users; engaging in discussion with researchers from various fields
  • Engaging in national and international ML / deep learning (DL) communities, most importantly helmholtz.ai, the Helmholtz Artificial Intelligence Cooperation Unit
  • Presenting research results at scientific meetings, conferences, and as 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 ML, 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 ML / DL 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 an 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 ML supercomputers
  • Engage in NLP, one of the most exciting and fast-paced disciplines of ML, 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
  • Flexible working hours in a full-time position with the option of slightly reduced working hours
  • 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year)
  • Targeted services for international employees, e.g. through our International Advisory Service
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).
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities, in which everyone can realize their potential, is important to us.
We look forward to receiving your application until May 31, 2022 via our Online Recruitment System!

Questions about the vacancy?

zertifikat - FZ Jüich
Get in touch with us by using our contact form. Please note that for technical reasons we cannot accept applications via email.
www.fz-juelich.de
# 10 BEST EMPLOYERS IN GERMANY 2022​​

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