Positions in Machine Learning Engineering (# of pos: 2)
ETH Zurich
Zurich, Switzerland
vor 6 Tg.
source : Euraxess

Job description

You will work in close collaboration with leading Swiss and European companies with high volumes of data and diverse problems.

The tasks are diverse and non-repetitive, building a new and innovative system using state of the art concepts and infrastructure.

In addition, you will be closely working with the BLP team and discuss machine learning, data pipelines, deployment and many more topics with experts and talents working at university, in industry, and in other start-up ventures.

We offer a competitive salary in accordance with ETH standards and an interesting research and development agenda. Our research is driven by the strong desire to develop artificial intelligence for management in businesses, public organizations or healthcare.

For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to gain deep insights.

The close collaboration with our spin-off company offers the unique chance of applying research in practice.

Your profile

  • MA / MS in computer science or a related technical field, or equivalent practical experience
  • Excited to be part of a small and fast-paced team which is driven by innovation
  • Ready to take over responsibility and work independently
  • Experience building and maintaining large scale, production data pipelines for machine learning applications
  • Solid understanding of cloud infrastructure (GCP, AWS)
  • Solid competence in software engineering with a common programming language such as Python, C++, or similar
  • Experience with an ML framework such as Pytorch, Tensorflow, or similar
  • Excellent oral & written communication skills in Englis
  • Bonus points

  • Gained hands-on experience with large scale data infrastructures for ML model deployment in production
  • Solid understanding and experience with distributed systems
  • Experience with Docker
  • Experience with databases, their internals and query processing
  • Background in statistics
  • ETH Zurich

    ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society.

    Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence.

    Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

    Interested?

    We look forward to receiving your online application. We have a lightweight application procedure (CV+transcript only) to minimize effort at both ends.

    Please note that we exclusively accept applications submitted through our online application portal.

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