*Multiple Roles Available*
We're partnering exclusively with a purpose-driven, product-led SaaS start-up that applies machine learning to solve meaningful, real-world problems at scale. Their platform supports organisations globally by turning complex data into actionable insights, enabling smarter decision-making and measurable outcomes.
Machine Learning here isn’t experimental or theoretical - it’s deeply embedded in the product. Models are deployed, monitored, iterated on, and directly influence how customers operate day to day.
Location - Sydney | Hybrid (1 day in office/week)
Salary - Up to $150k Base + Super + ESOP (dependent on experience)
What You’ll Do:- Build, train, deploy, and maintain machine learning models used in live production systems.
- Work across data preparation, feature development, modelling, and inference.
- Improve model performance through experimentation, evaluation, and iteration.
- Operate and support ML pipelines, including monitoring, debugging, and optimisation.
- Partner with engineers and product stakeholders to integrate ML outputs into customer-facing features.