Software Engineer - Machine Learning

  • EPFL
  • Lausanne, VD, Switzerland
  • 20/05/2021
Full time Data Science Machine Learning Data Analytics Big Data Statistics Software Engineering

Job Description

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.

Software Engineer - Machine Learning

Your mission :
By combining graphics and text, comic books are easily accessible to all ages and social classes. They are recognized as a media in their own right and constitute an important part of our cultural heritage. Over the years, comics have constantly evolved to different formats, such as from short strips in periodicals to standalone albums and to graphic novels, which provide more artistic freedom. Unfortunately, the transfer of a comic from one format to another is a time-consuming and costly process, requiring the artist to deconstruct and reconstruct his/her work for each individual publication channel.
IVRL and CVLab are looking for an engineer with a solid machine learning background to work on a SNF-funded project, which aims to understand and simplify the tedious reconfiguration process. You will work closely with other researchers and contribute to the ongoing effort that will help artists reconfigure their comics from one media to another in more efficient way.Main duties and responsibilities include :
More specifically, your tasks will be:

  • Develop, implement and improve state-of-the-art machine learning algorithms and pipelines 60%.
  • Design graphical user interfaces enabling artists to interact with the algorithms we are

developing 30%

  • Manage the data that is used in the project 5%
  • Supervise student projects 5%

Your profile :
Required skills:

  • Master in Computer Science or equivalent
  • Fluency in English, French is a plus
  • Python proficiency
  • Very good knowledge of machine learning and more specifically deep learning
  • TensorFlow and/or Pytorch proficiency
  • Good coding practices
  • Good communication skills
  • Technical writing skills

Prefered Skills:

  • Professional experience in machine learning
  • Familiar with Qt and PyQt
  • Peer reviewed publications

We offer :

  • An interesting multi-disciplinary project
  • Collaborating with a group of researchers at EPFL and UNIL
  • The opportunity to publish in top conferences
  • A stimulating work environment where you are encouraged to propose and

experiment with new ideas

Start date :
As soon as possible

Term of employment :
Fixed-term (CDD)

Work rate :
80 - 100%

Duration :
1 year renewable

Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account