Machine Learning Engineer

Brisbane, Queensland, Australia

We are seeking a Machine Learning Engineer to join our growing Machine Learning team at Notiv™ in Brisbane. You will be working on a variety of applied machine learning tasks involving speech and language processing with particular focus on content from meetings. The ideal candidate has several years experience working on relevant problems such as topic classification, text summarisation, speaker identification, etc. As one of our early hires, we are seeking someone that is highly motivated to work in a start-up environment and grow with the company. While we prefer candidates who can be available to work in our Brisbane office, we are open to consider remote work arrangements for the right person.

Description

We are seeking a Machine Learning Engineer to join our growing Machine Learning team at Notiv™ in Brisbane. You will be working on a variety of applied machine learning tasks involving speech and language processing with particular focus on content from meetings. The ideal candidate has several years experience working on relevant problems such as topic classification, text summarisation, speaker identification, etc. As one of our early hires, we are seeking someone that is highly motivated to work in a start-up environment and grow with the company. We are looking for someone with a strong work ethic, attention to detail and who loves constantly learning, staying aware of new advances in the field. While we would prefer candidates who can be available to work in our Brisbane office, we are open to consider remote work arrangements for the right person.

Qualifications

  • Bachelors, Masters or PhD in Computer Science, Engineering, Maths or Physics.
  • 3-5+ years relevant work experience
  • Domain knowledge in applying machine learning to natural language and/or speech processing problems.
  • Sound understanding of machine learning theory and experience using common ML libraries such as PyTorch.
  • Python and C/C++ software development and testing on Linux systems.
  • DevOps familiarity desirable.

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