In-Demand full stack application Jobs in melbourne, vic

AI Software Engineer (Model Training)
Maincode —Melbourne VIC
- Full-time
- Machine learning
- APIs
- AI
Dot Net Developer
Duxxel Pty Ltd —Melbourne VIC
- From $120,000 a year
- Contract
- Hybrid work
- Databases
- Software development
Quick Apply
13d
Senior Full Stack Developer - Data & AI
Axsys —Melbourne VIC
- Azure
- DevOps
- AWS
- Parental leave
Full Stack AI Engineer
AI Talent —Melbourne VIC
- $70,000 - $120,000 a year
- Full-time
- Hybrid work
- AWS
- APIs
- AI
- Work from home
Quick Apply
Graduate Backend PHP Developer
Balance Internet —Melbourne VIC
- Full-time
- SQL
- Work from home
Senior Software Engineer (Tech Enablement Team)
Amber Electric —Melbourne VIC
- $155,000 - $200,000 a year
- Full-time
- Hybrid work
- DevOps
- AWS
- Software development
- Annual leave
- Work from home
Quick Apply
6d
IT Field Engineer - ANZ
Palo Alto Networks —Melbourne VIC
- Full-time
- Remote
- Azure
- Computer Science
- Microsoft Office
Builder
Stile Education —Melbourne VIC
- AI
Senior Developer
MYOB —Melbourne VIC
- Hybrid work
- AI
13d
Senior Developer
Axsys —Melbourne VIC
- AI
13d
Software Development Engineer
Wilfred Knight —Brighton VIC
- Computer Science
- Bachelor's degree
- Software development
Practice Customer Engineer, Artificial Intelligence, Google Cloud
Google —Docklands VIC
- Full-time
- SQL
- Presentation skills
- Bachelor's degree
4d
Software Engineer / Network Automation Developer
Macquarie Group Limited —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- APIs
- AI
- Annual leave
- Work from home
4d
Software Engineer
RecordPoint —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AI
- SDLC
- Annual leave
- Parental leave
Quick Apply
11d
Application Architect (.NET)
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
2d
AI Software Engineer
Andromeda Robotics —South Melbourne VIC
- Full-time
- Systems design
- Databases
- AI
Quick Apply
11d
Application Architect
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- Databases
- SQL
Software Engineer (contract or perm)
NCS Australia —Melbourne VIC
- Full-time
- Azure
- SQL
- Parental leave
Quick Apply
AI Product Engineer
Triskele Labs —Melbourne VIC
- $100,000 - $120,000 a year
- Full-time
- Hybrid work
- Master's degree
- APIs
- AI
Quick Apply
11d
Senior Software Engineer
Catapult Sports —Melbourne VIC
- AWS
- AI
- Communication skills

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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 application jobs in melbourne, vic

AI Software Engineer (Model Training)

Dot Net Developer

Senior Full Stack Developer - Data & AI

Full Stack AI Engineer

Graduate Backend PHP Developer

Senior Software Engineer (Tech Enablement Team)

IT Field Engineer - ANZ

Builder

Senior Developer

Senior Developer

Software Development Engineer

Practice Customer Engineer, Artificial Intelligence, Google Cloud

Software Engineer / Network Automation Developer

Software Engineer

Application Architect (.NET)

AI Software Engineer

Application Architect

Software Engineer (contract or perm)

AI Product Engineer

Senior Software Engineer

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