In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Staff Machine Learning Engineer (Platform)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Writing skills
- AWS
Azure Cloud Customer Experience Engineer 2
Microsoft —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
5d
Senior Data Engineer
Anglicare —Macquarie Park NSW
- Full-time
- Azure
- DevOps
- Machine learning
- Employee assistance program
4d
Perception Engineer | Localisation, Sensor Fusion & World Building
Breaker —Sydney NSW
- Full-time
- Machine learning
- AI
Quick Apply
Staff Designated Support Engineer
Databricks —Sydney NSW
- Azure
- SQL
- AWS
8d
Staff Engineer Chapter Lead – Generative AI
Commonwealth Bank —Sydney NSW
- Full-time
- Systems design
- Master's degree
- AWS
Staff Software Engineer – Create, Grow - Growth
Canva —Sydney NSW
- Full-time
- Hybrid work
- University
- Machine learning
- AI
- Parental leave
Quick Apply
Senior Designated Support Engineer
Databricks —Sydney NSW
- Azure
- SQL
- AWS
8d
Site Reliability Engineer, AML Platform - USDS
TikTok USDS JV —Sydney NSW
- On call
- Hybrid work
- Computer science
- Computer Science
- Master's degree
Staff Pre-sale Support Engineer
SentinelOne —Sydney NSW
- Remote
- Azure
- Computer Science
- Customer service
- Employee stock purchase plan
- Health insurance
Quick Apply
Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Senior Software Engineer
Freelancer.com —Sydney NSW
- $160,000 - $180,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick Apply
Google Data Engineer - GCP
NCS Australia —Sydney NSW
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Senior Engineer, ML Systems (AI Products)
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Account Executive, Latin America
Snowflake —Barangaroo NSW
- Full-time
- Computer Science
- Engineering
- Master's degree
Algorithm Engineer, Market Growth
Binance —Sydney NSW
- Full-time
- Remote
- Computer Science
- Master's degree
- SQL
Quick Apply
Senior Manager, Data Analytics Consulting
EPAM Systems, Inc. —Sydney NSW
- Azure
- AWS
- Machine learning
Staff Engineer | Cyber Security
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Annual leave
- Work from home
Senior Software Engineer, Golang
Checkbox Technology —Sydney NSW
- Full-time
- Hybrid work
- AWS
- Software development
- APIs
Quick Apply

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Staff Machine Learning Engineer (Platform)

Neara
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Data modelling
Azure
Writing skills
Google Cloud Platform
OS Kernels
AWS
Docker

Full Job Description

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.

We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.

By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.

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.

The Staff Machine Learning Platform Engineer owns the infrastructure and systems that allow Neara's ML discipline to move fast, ship reliably, and scale without breaking.

Neara is conducting cutting edge research, developing multi-modal spatial frontier models. You will help the team run faster, helping overcome challenges that have never been seen before in the world. These models work with a range of less researched data types, including point cloud, geospatial data, and asset data. The lack of research maturity in the geospatial domain and novel nature of the problem presents unique challenges around performance, data unification, and deployment.

The problem and role stretch beyond pure research. These models will be deployed with our global utility and new vertical customers, delivering real value and increased climate resilience for critical infrastructure. Your role will be critical in both making sure we can develop frontier level spatial intelligence quickly and economically, but also in making sure we can deploy those models efficiently to our customers.

WHAT YOU’LL 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 that tie it all together.
Build tooling that accelerates ML delivery - Develop foundational infrastructure that takes engineers from idea to production faster, standardising workflows and eliminating friction between experimentation and deployment.
Solve hard distributed systems problems - Enable training across distributed data with residency and security requirements, while ensuring models run efficiently across varied GPU hardware, including sparse tensor implementations and architecture bottlenecks.
Design scalable, flexible serving architecture - Define serving systems that handle spiky load in production while giving the ML team the freedom to experiment across regions, customers, tasks, and verticals.
Unblock the ML team at scale - Identify what's slowing the team down, define the contracts and interfaces between training, evaluation, and serving, and build the roadmap to turn ambitious research into routine delivery.

WHAT YOU’LL BRING

Significant hands-on experience building and operating training pipelines, distributed compute, model serving, and monitoring systems at scale.
Strong proficiency writing and optimising custom CUDA kernels for deep learning training, ideally across non-text/image data types, with experience diagnosing performance bottlenecks in sparse architectures.
Proven experience across production model monitoring, data quality frameworks, and training data warehouses brought to ML readiness.
Demonstrated ability to set ML platform standards, influence engineering roadmaps, and drive alignment on complex infrastructure decisions across teams without direct authority.
Proficiency in Python and PyTorch (or equivalent), strong system design instincts, and an R&D foundation that informs good prioritisation decisions.
Experience across AWS, GCP, or Azure, container orchestration (Kubernetes, Docker), and on-prem or neocloud environments.
A track record of leading, mentoring, and coaching ML engineers, raising the technical bar of the teams around you through hands-on guidance, documentation, and internal standards.

WHAT’S IN IT FOR YOU?

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

To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply.

No agencies or third-party service providers, please.
#LI-AP1

Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Staff Machine Learning Engineer (Platform)

Azure Cloud Customer Experience Engineer 2

Senior Data Engineer

Perception Engineer | Localisation, Sensor Fusion & World Building

Staff Designated Support Engineer

Staff Engineer Chapter Lead – Generative AI

Staff Software Engineer – Create, Grow - Growth

Senior Designated Support Engineer

Site Reliability Engineer, AML Platform - USDS

Staff Pre-sale Support Engineer

Consultant - Data & Analytics (Open)

PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

Senior Software Engineer

Google Data Engineer - GCP

Senior Engineer, ML Systems (AI Products)

Account Executive, Latin America

Algorithm Engineer, Market Growth

Senior Manager, Data Analytics Consulting

Staff Engineer | Cyber Security

Senior Software Engineer, Golang

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