Summary from listing
The AI Accelerator is hiring an ML Engineer to join its AI Systems team and help translate biomedical foundation-model research prototypes into production-quality implementations. The role involves contributing to scalable model architecture, implementing training, data-loading, tokenisation, inference, and fine-tuning components, optimising inference pipelines, supporting model handovers to MLOps, and collaborating with AI scientists and senior engineers. Candidates need a postgraduate degree in a relevant technical field, hands-on deep-learning and foundation-model experience, Python and PyTorch proficiency, and familiarity with distributed training and model optimisation. The position is hybrid, with approximately three days per week in the office.
