Harrison.ai

Senior/Principal Machine Learning Engineer - Aus

Harrison.ai
Apply
2 months ago
Sydney, AustraliaSenior / Staff+

Responsibilities

  • Develop AI algorithms, prototypes, and healthcare solutions focused on foundation models and self-supervised learning.
  • Optimize models and training pipelines for accuracy, scale, and rapid experimentation.
  • Evaluate generative AI models and collaborate with teams training models at scale.
  • Apply software engineering best practices, including testing, validation, rapid prototyping, documentation, and iteration.
  • Benchmark and adopt state-of-the-art techniques and algorithms through engagement with research literature.
  • Provide technical and project progress reports and contribute to a culture of engineering excellence.

Requirements

  • Extensive experience in an ML engineering or applied research role working closely with software development teams.
  • Extensive experience with Python and modern deep learning frameworks such as PyTorch.
  • Hands-on experience building foundation models and self-supervised learning methods.
  • Honours or higher academic qualification in computer science, or strong quantitative grounding and equivalent software engineering work experience.
  • Experience evaluating generative AI models and partnering with model training at scale.
  • Preferred experience includes healthcare data and solutions, product-context ML model development and deployment, large-scale distributed training, AWS cloud development, computer vision, natural language processing, AI tools and techniques, or a PhD in ML or equivalent research experience.
  • Publications or open-source contributions in foundation models, self-supervised learning, or generative AI are desirable.

Benefits

  • Work-from-home options, flexible hours, and autonomy over when and where to work.
  • Yearly learning and development budgets, mentoring, hackathons, and secondments supported by a transparent growth framework.
  • Inclusive family-support policies covering fertility, parenthood, loss, and grandparenthood.
  • Opportunity to work on global healthcare AI technology with international collaboration.

Categories

AI ResearchML Engineering
Harrison.ai

About Harrison.ai

201-500 employees
Contact me