Staff Machine Learning Engineer (Platform)

📋 Description Own the ML platform strategy end-to-end - Define and drive the multi-year technical roadmap for Build tooling that accelerates ML delivery - Develop foundational infrastructure that takes Solve hard distributed systems problems - Enable training across distributed data with residency Design scalable, flexible serving architecture - Define serving systems that handle spiky load in Unblock the ML team at scale - Identify what's slowing the team down, define the contracts and 🎯 Requirements Hands-on experience building and operating training pipelines, distributed compute, model serving Proficient writing and optimising custom CUDA kernels for deep learning training, with performance Production model monitoring, data quality frameworks, and training data warehouses. Ability to set ML platform standards and influence engineering roadmaps across teams. Python and PyTorch proficiency, strong system design instincts, R&D grounded prioritisation. Experience with AWS, GCP, or Azure, Kubernetes, Docker, and on-prem/neocloud environments. 🎁 Benefits Competitive salary Meaningful ESOP Fully Flexible Work Environment with a Redfern office Regular office events Work on a complex, innovative product with real-world impact