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Machine Learning Scientist

This is an applied research and engineering position with focus on machine learning algorithm development and distributed computation. As Machine Learning Scientist, you will work with state-of-the-art research and commercial machine learning algorithms and apply them to our core technology. Representative work:

  • Understand and be able to distill, explain state-of-the-art research in machine learning.
  • Develop and implement software for novel machine learning techniques on our system.
  • Decompose machine learning algorithms/models into their computational characteristics.
  • Conduct and report on detailed analysis of machine learning models as executed by the Cerebras platform.
  • Algorithm implementation in the areas of graph transforms, linear algebra kernels, and combinatorial optimization.

Skills and Qualifications

  • Experience with at least two machine learning frameworks, such as TensorFlow, Caffe/2, Torch, Theano.
  • Fluency in at least two programming languages, such as Python, C, bash.
  • Proficiency with linear algebra and dynamical systems.
  • Experience with software development engineering.
  • Experience with both asymptotic performance analysis and performance tuning specific case studies.
  • Candidates with Ph.D. and candidates with B.Sc. are encouraged to apply. 


  • Our cozy and well-appointed headquarters are in the heart of Silicon Valley near downtown Los Altos, California.

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