Software Research Engineer

4 days ago


Stockholm, Stockholm, Sweden Karlstad University Full time

The role involves research and development of scalable machine learning techniques. The position focuses on fundamental research combining probabilistic machine learning and compilers.

Key Responsibilities
  • Designing and implementing novel probabilistic machine-learning methods that scale up to very large problems.
  • Developing Bayesian inference techniques for usability and performance.
  • Exploring combinations with other machine learning and generative AI methods.

Candidate Requirements

  • Passed a second cycle degree (for example a master's degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or acquired substantially equivalent knowledge.
  • English language proficiency equivalent to English B/6.


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