Staff Machine Learning Engineer (Platform)
AI
Neara is seeking a Staff Machine Learning Platform Engineer to own the infrastructure and systems driving ML development in Sydney. This role involves building tooling, solving distributed systems problems, and designing scalable serving architecture for multi-modal spatial models. The ideal candidate brings deep experience in ML platforms, CUDA optimization, and cloud infrastructure.
What you'll do
- Own the ML platform strategy end-to-end, defining and driving the multi-year technical roadmap for training pipelines, serving architecture, experiment management, and monitoring systems.
- Build tooling that accelerates ML delivery, developing foundational infrastructure to standardise workflows and eliminate friction between experimentation and deployment.
- Solve hard distributed systems problems, enabling training across distributed data with residency and security requirements, while ensuring efficient model performance across varied GPU hardware.
What you need
Must-have
PythonPyTorchCUDAAWSGCPAzureKubernetesDocker
Soft skills
LeadershipMentoringCoachingCommunicationProblem SolvingStrategic Thinking
Staff Machine Learning EngineerML PlatformMachine LearningCUDAPyTorchKubernetesAWSGCPAzureGeospatial AI