Staff Machine Learning Engineer (Platform), Australia-based, Full Relocation Provided

The role

The Staff Machine Learning Platform Engineer owns the infrastructure and systems that allow the ML discipline to move fast, ship reliably, and scale. You will define the technical roadmap for training pipelines, serving architecture, experiment management, and monitoring systems.

What you will do

• Own the ML platform strategy end-to-end
• Define and drive the multi-year technical roadmap for training pipelines, serving architecture, experiment management, and monitoring systems
• Build tooling that accelerates ML delivery
• Develop foundational infrastructure to standardize workflows and eliminate friction between experimentation and deployment
• Solve hard distributed systems problems
• Enable training across distributed data with residency and security requirements
• Design scalable, flexible serving architecture
• Unblock the ML team at scale by defining contracts and interfaces between training, evaluation, and serving

Required qualifications

• A foundation in R&D
• Demonstrated ability to set ML platform standards and interactions across teams
• Significant technical experience running deep learning at scale
• Experience in building training data warehouses and bringing data systems to ML readiness
• Deep hands-on expertise building ML infrastructure at scale including training pipelines, distributed compute, model serving and model monitoring
• Deep familiarity with model monitoring, data quality frameworks, and operational practices for production ML models
• Proven investment in building others through documentation, internal standards, and raising MLOps capability
• Strong proficiency in Python, PyTorch (or equivalent framework)
• Demonstrated software engineering fundamentals across system design, code quality, and scalability
• Solid experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker)
• Experience dealing with custom on-prem/neocloud offerings

Nice to have

• Proficiency in writing and optimising custom CUDA kernels for deep learning training

Benefits

• Full relocation to Australia
• Competitive salary
• Meaningful ESOP
• Fully flexible work environment
• Fully stocked office and snack collection in Redfern
• Regular office events

Before you apply

• Visa sponsorship will be provided

About the company

Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. They build tools to help asset owners understand challenges and build a more resilient global energy future.