Machine Learning Engineer in Scalable Systems

15 hours ago


Stockholm, Stockholm, Sweden KTH Royal Institute of Technology Full time
About the Position

We are seeking a highly skilled researcher to join our team as a Doctoral Student in Scalable Probabilistic Machine Learning and Compilers.

The successful candidate will contribute to the development of innovative methods for probabilistic machine learning and compilers, with a focus on scalability and performance.

This position offers an excellent opportunity to work with world-class researchers and gain expertise in cutting-edge technologies.

Responsibilities
  • Conduct original research in scalable probabilistic machine learning and compilers.
  • Develop new methods for finding compilation techniques and scaling up Bayesian inference techniques.
  • Collaborate with colleagues to advance the state-of-the-art in these areas.

Applicants should have a strong background in computer science and relevant experience in machine learning, compilers, algorithms, or programming language theory.



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