In-Demand Full stack software engineer Jobs in Melbourne, Vic

AI Software Engineer (Model Training)
Maincode —Melbourne VIC
- Full-time
- Machine learning
- APIs
- AI
Product Developer, Sr
Epicor —Melbourne VIC
- Full-time
- Master's degree
- SQL
- APIs
Senior Full Stack Developer
LAB3 —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
Quick Apply
3d
Technical Program Manager, Integrations
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
- EMR systems
- SharePoint
Delivery Consultant: Full Stack Engineer, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Management
- Systems design
- AWS
Systems Engineer | Defence
Leidos —Melbourne VIC
- Full-time
- Administrative experience
- Annual leave
13d
Staff Software Engineer
Anduril Industries —Melbourne VIC
- Full-time
- Computer Science
- Software troubleshooting
- Systems design
Quick Apply
ITS Research Platforms Engineer
The Walter and Eliza Hall Institute of Medical Research —Parkville VIC
- Full-time
- Research
- Communication skills
5d
Sr. Software Engineer, Industrial Energy Site Controller, APAC
Tesla —Cremorne VIC
- Full-time
- Master's degree
- Bachelor's degree
5d
Senior Software Engineer
Leidos —Melbourne VIC
- Full-time
- Computer Science
- Bachelor's degree
- No degree
- Annual leave
4d
Applied Solutions Architect, Google Cloud
Google —Melbourne VIC
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
3d
Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
10d
Lead Software Engineer
Karbon —Melbourne VIC
- Computer science
- Azure
- Computer Science
- Annual leave
- Parental leave
Quick Apply
AI Engineer
Pentana Solutions —Melbourne VIC
- Contract
- APIs
- AI
AI Product Engineer
The Royal Children's Hospital —Parkville VIC
- Full-time
- Computer science
- Azure
- AWS
10d
Network Engineer
Tabcorp —Melbourne VIC
- Full-time
- Azure
- Software troubleshooting
- AWS
- Parental leave
6d
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Public speaking
- SQL
Technical Lead - C#
Kogan —South Melbourne VIC
- Full-time
- Databases
- SQL
- AI
- Wellness program
Service Desk / Onsite Engineer (MSP)
VISITS —Melbourne VIC
- Weekend availability
- Microsoft Outlook
- Management
- Customer service
- Work from home
- Free food
Quick Apply
Senior IT Engineer, LRC
Airwallex —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- AWS

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AI Software Engineer (Model Training)

Maincode
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

Machine learning
APIs
AI

Full Job Description

About the role

Maincode is training Matilda, the first large language model built and trained from scratch in Australia. Our new compute cluster is live, and we are now scaling the next version.

This role sits directly inside that training stack. You will build the pipelines, infrastructure, and tooling that determine how efficiently Matilda trains, how stable long runs are, and how fast new experiments can be executed. Training runs last days or weeks. Small changes propagate through complex systems. The work requires precision and patience.

We build AI systems from first principles: designing the architectures, running the infrastructure, shaping the training process, and operating the models ourselves. Matilda is not a research prototype. It is a production system, trained at scale and served for open public access.

Maincode operates one of the largest private AI compute environments in Australia, built for a single purpose: training our own models. This is not a role that wraps external APIs or ships user-facing features. You will be working on the systems that train a large language model from scratch.

What you would actually do

You will build and maintain the systems that support large scale model training.

This includes:

Designing and maintaining distributed training pipelines for large language models
Building data ingestion and preprocessing systems for large training datasets
Developing tooling for experiment management, checkpointing, and reproducibility
Monitoring and debugging long running training jobs across clusters
Improving reliability and observability across the training stack
Optimising training throughput across compute, memory, and data pipelines
Working closely with researchers to translate experimental ideas into training runs
Diagnosing failures across infrastructure, training loops, and data pipelines

Training runs can last days or weeks. Small changes propagate through complex systems.

You will spend time inside code, logs, dashboards, and experiment outputs. The goal is simple: make large scale training reliable.

The kind of person who does well here

We are looking for engineers early in their careers who want to understand how large models are actually trained.

You may have one or two years of experience building production software. What matters most is curiosity and the willingness to learn how these systems behave under load.

People who tend to do well here:

Care about how systems behave over long runtimes
Enjoy debugging complex distributed systems
Pay attention to logs, metrics, and system behaviour
Prefer understanding how a system works rather than relying on abstraction
Are comfortable working close to infrastructure
Have the patience to diagnose failures that appear hours into a run
Want to learn how large scale AI training actually happens

You do not need prior experience training large language models. What matters is intellectual curiosity, persistence, and the ability to learn quickly.

How you would work

You will write production code that sits directly in the training stack.

You should be comfortable:

Working in Python
Using machine learning frameworks such as PyTorch or JAX
Writing reliable infrastructure for large compute workloads
Debugging distributed systems and long running jobs
Collaborating closely with researchers and infrastructure engineers

Much of the work sits between research and infrastructure. Ideas move quickly, but the systems that support them must remain stable.

What this role is not

It is not primarily about building user facing applications
It is not about prompt engineering
It is not about wrapping external APIs or third party models

You will be working on the systems that train our own models from scratch.

Why Maincode

Maincode builds AI systems end to end. We prepare the data, design the training process, run the infrastructure, and operate the models ourselves.

You will work with a small team that:

Builds the full AI stack rather than outsourcing it
Treats infrastructure as part of the intelligence system itself
Values engineers who want to understand how things actually work
Is building long term capability in training and operating large models

If you want to work directly on the systems that train large language models from scratch, this is the only role in Australia that will put you inside that work.

Note

This is a full time role based in Melbourne, working closely with our in person engineering and research team. At this time we are not able to offer visa sponsorship, so applicants must have existing and unrestricted work rights in Australia.

Apply Now

Refine Your Search

full stack software engineer jobs in melbourne, vic

AI Software Engineer (Model Training)

Product Developer, Sr

Senior Full Stack Developer

Technical Program Manager, Integrations

Delivery Consultant: Full Stack Engineer, AWS Professional Services

Systems Engineer | Defence

Staff Software Engineer

ITS Research Platforms Engineer

Sr. Software Engineer, Industrial Energy Site Controller, APAC

Senior Software Engineer

Applied Solutions Architect, Google Cloud

Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services

Lead Software Engineer

AI Engineer

AI Product Engineer

Network Engineer

Specialist SA, Developer Transformation

Technical Lead - C#

Service Desk / Onsite Engineer (MSP)

Senior IT Engineer, LRC

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