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Research Scientist Machine Learning jobs

• The average pay for Research Scientist Machine Learning jobs is $90K per year.
• Entry-level positions start at $37K per year, while the most experienced workers can earn up to $160K per year.
5 companies are currently advertising Research Scientist Machine Learning jobs including Garvan Institute of Medical Research, Google, Monash University, University of Tasmania and University of Sydney.
• Top skills include Machine Learning, Python, Marketing Analysis, Programming and Cell Differentiation.
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Posted 56d ago
Full time · Contract
Similar jobs pay ~$38k

Pay information not disclosed by advertiser

Key points we found

  • PhD scholarship opportunity focusing on green metals processing intelligence.
  • Utilise in situ X-ray characterisation and machine learning for materials transformation.
  • Conduct research on structural and chemical changes during minerals-to-metals processing.
+60d ago
Full time · Permanent
Similar jobs pay ~$80k - $120k

Pay information not disclosed by advertiser

Key points we found

  • Lead research using iPSC Village platform to explore genetic variation and disease pathways.
  • Integrate advanced techniques like single-cell multi-omics and CRISPR for high-impact analyses.
  • Collaborate within a multidisciplinary team to translate findings into diagnostics and therapeutics.
Posted 22d ago
Full time · Contract
Similar jobs pay ~$122k - $138k

Pay information not disclosed by advertiser

Key points we found

  • Work with world-leading researchers in Automated Planning and Machine Learning.
  • Contribute to impactful research on cutting-edge Automated Planning and Machine Learning.
  • Collaborate with researchers at ANU and internationally.
Expiring in 3d
Full time · Contract
Similar jobs pay ~$113k - $121k

Pay information not disclosed by advertiser

Key points we found

  • Research opportunity in breast cancer detection and medical imaging optimisation.
  • Contribute to high impact scientific and clinical projects.
  • Collaborate with multidisciplinary teams in healthcare innovation.