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Machine Learning Engineer

Organisation
HUN-REN Alfréd Rényi Institute of Mathematics, Rényi AI
Deadline
rolling
Rényi Institute is seeking Machine Learning Engineers to join our AI Research & Development team. Preferred Qualifications: • MLOps experience (especially in cloud environments) • Industry experience working on ML solutions

Job description

Rényi Institute is seeking Machine Learning Engineers to join our AI Research & Development team. The ideal candidate has experience as a developer working on a range of problems. The position will involve taking these skills and applying them in exciting ML problems.

Minimum Qualifications

  • BS, MS or Ph.D. degree in Computer Science or related field
  • 1 year of experience developing machine learning algorithms
  • 1 year of experience with deep learning frameworks (PyTorch, TensorFlow, Jax or similar)
  • Strong Python programming skills
  • The candidate must possess independent problem-solving skills, capable of identifying and resolving tasks autonomously or as part of a team, without the need for constant guidance

Preferred Qualifications

  • MLOps experience (especially in cloud environments)
  • Industry experience working on ML solutions

About our team

The AI Research & Development group at the Alfréd Rényi Institute of Mathematics is one of the most successful machine learning research groups in Hungary, with accepted publications at some of the most competitive AI conferences. Our team simultaneously works on Deep Learning research problems and applied projects. This provides a great opportunity for the candidate to be exposed to both the theoretical and the engineering aspects of Deep Learning.

What we offer

  • The unique opportunity to participate in foundational research besides applied research
  • Working on exciting problems, developing state of the art ML solutions
  • The opportunity to learn from experienced ML researchers
  • Joining a motivated team
  • Exceptional flexibility in work schedule
  • A competitive salary

Apply at: Péter Kőrösi-Szabó, koszpe@renyi.hu