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Engineer Position on Fairness and Privacy in Trustworthy Machine Learning (F/M)

Inria · Villeneuve d'Ascq

Research instituteonsiteSalary depending on profile
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At a glance

Highlights

  • Make fairness and privacy-preserving ML methods accessible to community.
  • Maintain and expand the FairGrad library with new benchmarks.
  • Build ML pipeline for learning from locally private data.

Ideal candidate

Hands-on ML enthusiast with strong math foundations who cares about ethical AI and wants to turn fairness and privacy research into usable open tools.

Requirements

  • Good command of English
  • Good command of Python
  • Strong background in implementation and experimentation
  • Strong background in mathematics
  • Good knowledge of machine learning, statistics and algorithms

Lab profile

About Inria

French national research institute advancing digital sciences, computing, AI and applied mathematics.

What they build

  • Digital sciences and computing research
  • Artificial intelligence for microscopy and video analysis
  • Quantum information theory

Known for

  • Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
  • Embedded in Paris-Saclay science and technology cluster
  • Rich R&D ecosystem with startups, industry and clusters
  • International collaborations and multinational scientific staff

Key facts

  • Founded in 1967
  • Headquartered in France
  • Nine research centres across France
More about Inria →
Apply on the lab’s site ↗

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