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

Neara, London +3

The role

Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.

What you need

A foundation in R&D to help drive the right direction and prioritisation necessary for faster iteration.
Demonstrated ability to set ML platform standards and interactions across teams, influence engineering roadmaps without direct authority, and drive alignment on complex infrastructure decisions.
Significant technical experience running deep learning at scale, with a track record of designing and operating the systems other ML engineers depend on.
Experience in building training data warehouses as well as bringing data systems to ML readiness.
Deep hands-on expertise building ML infrastructure at scale, in particular: training pipelines, distributed compute, model serving and model monitoring.
Deep familiarity with model monitoring, data quality frameworks, and the operational practices required to maintain a diverse portfolio of production ML models.
A proven investment in building others through documentation, internal standards, and raising the MLOps capability of the engineering discipline around you.
Strong proficiency in Python, PyTorch (or equivalent framework) and a passion for deep learning.
Demonstrated software engineering fundamentals across system design, code quality, and scalability, with a clear instinct for where to invest complexity and where to keep things simple.
Solid experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker) as well as dealing with custom on-prem/neocloud offerings
Proficiency in writing and optimising custom CUDA kernels for deep learning training is a nice-to-have but not imperative

WHAT’S IN IT FOR YOU?

Full relocation to Australia
Competitive salary
Meaningful ESOP
Fully flexible work environment. We have a fully stocked office (and an impressive snack collection) in Redfern.
Regular office events
The real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us

No agencies or third-party service providers, please.

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

The role

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

The role

What you will do

What you need

About Neara

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