In-Demand Ai researcher Jobs in Cremorne, Vic

AI Researcher
Maincode —Melbourne VIC
- Full-time
- Research
- APIs
- AI
Expression of Interest — Heidi Entry Program
Heidi —Melbourne VIC
- Full-time
- Hybrid work
Research Fellow, Australian Centre for AI in Medical Innovation
La Trobe University —Bundoora VIC
- From $118,530 a year
- Full-time
- Doctoral degree
- Research
- Working with children
8d
Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure
Monash University —Clayton VIC
- Full-time
- Doctoral degree
- Research
- Master's degree
2d
Founding ML Researcher
Base Compute —Melbourne VIC
- Full-time
- Doctoral degree
- Research
- Master's degree
Quick Apply
14d
Senior UX Researcher
REA Group —Richmond VIC
- Full-time
- Hybrid work
- Research
- AI
- Café
- Parental leave
20h
Technical Program Manager, Integrations
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Bachelor's degree
- EMR systems
- SharePoint
Senior UX Researcher
News Corp —Melbourne VIC
- Full-time
- Hybrid work
- Research
- AI
- Café
- Parental leave
6h
Research Fellow - Federated & Multimodal Learning
Monash University —Clayton VIC
- $123,138 - $146,228 a year
- Full-time
- Hybrid work
- Research
- AI
Research Fellow in Computational & AI Modelling (Infectious Diseases)
University of Melbourne —Parkville VIC
- $106,273 - $118,416 a year
- Full-time
- Doctoral degree
- Research
- Machine learning
- Health insurance
- Parental leave
2d
AI Software Engineer (Model Training)
Maincode —Melbourne VIC
- Full-time
- Machine learning
- APIs
- AI
Research Officer
Murdoch Childrens Research Institute —Parkville VIC
- $109,334 a year
- Part-time
- Doctoral degree
- Research
- Machine learning
- Parental leave
Technical Implementation & Support Engineer (APAC)
Nicolab —Melbourne VIC
- $120,000 - $150,000 a year
- Part-time
- Remote
- AWS
- Education
- Bachelor's degree
- Annual leave
- Referral program
Quick Apply
Associate Professor (Research), Australian Centre for AI in Medical Innovation
La Trobe University —Bundoora VIC
- From $172,864 a year
- Full-time
- Doctoral degree
- Working with children
- Recruiting
8d
Undergraduate Vacation Studentships - CSIRO Futures
CSIRO —Melbourne VIC
- $2,056.32 a month
- Full-time
- Doctoral degree
- Research
- University
1d
Associate Professor/Professor, Generative AI
RMIT University —Melbourne VIC
- $176,883 - $227,847 a year
- Full-time
- Doctoral degree
- Research
- Master's degree
Content Designer
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Research
- AI
- Editing
- Health insurance
14d
Data Scientist, Applied Science
Future Secure AI —Melbourne VIC
- $110,000 - $210,000 a year
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Marketing Campaign Executive
.id consulting —Collingwood VIC
- Microsoft Excel
- Salesforce
- Data analysis skills
- Parental leave
AI Infrastructure Engineer
Maincode —Melbourne VIC
- Full-time
- AI

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AI Researcher

Maincode
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

Deployment
Research
APIs
AI

Full Job Description

About the role

Maincode builds foundation models from first principles on Australian infrastructure. We design architectures, run our own compute, shape the training process, and operate the systems that serve our models.

We have built Matilda, the first large language model built and trained from scratch in Australia. Our new compute cluster is live; we are scaling the next version of Matilda and deploying and serving it live for public access.

We are looking for AI researchers who want to work on the core architecture, training, and evaluation of large-scale language models that power Matilda.

This role is not focused on incremental benchmarking or paper output. You will work directly with the engineers running large-scale training systems and help design models that learn efficiently and behave reliably in production.

What you would actually do

You will work across the model development loop, from research questions to training runs to evaluation.

This includes:

Designing and testing architecture changes and training regimes for large language models
Running controlled experiments at scale and isolating causal effects
Studying failure modes in reasoning, generalisation, robustness, and representation
Shaping objectives, data mixtures, and optimisation choices that influence model behaviour
Building and refining evaluations that measure capability and reliability, not just scores
Analysing training dynamics using logs, metrics, and model outputs
Collaborating with ML systems engineers on distributed training and training operations
Writing clear internal notes that turn experimental results into design decisions

You will spend substantial time in code, training runs, logs, and evaluation outputs. The goal is clarity about what improves the model and why.

What we are looking for

We care about depth of reasoning, experimental discipline, and the ability to make progress under ambiguity.

We expect:

Hands-on experience writing and running production-grade ML or research code
Strong Python and experience with PyTorch or JAX
Solid understanding of transformer-based language models and the basics of pre-training and evaluation
Ability to design experiments, interpret results, and communicate tradeoffs clearly
Comfort working close to infrastructure, performance constraints, and operational reality
Interest and exposure to reasoning-oriented architectures and training methods beyond standard approaches, and beyond standard LLMs

Nice to have

Experience with distributed training concepts and tooling (data parallel, tensor parallel, sharding, checkpointing)
Experience running training across multiple nodes and managing long training cycles
Familiarity with large-model training stacks and frameworks (for example Megatron-style systems, DeepSpeed-like tooling, FDSP or similar)
Comfort across the full workflow: training, evaluation, and deployment constraints
Experience working in ROCm-based environments

How you would work

This is hands-on research. You will use code as a primary tool for thinking.

You will be expected to:

Move between theory and implementation quickly and precisely
Prefer controlled experiments over broad sweeps
Use logs, metrics, and model behaviour to guide decisions
Work closely with engineering counterparts to scale and validate ideas

What this role is not

It is not a product research role
It is not prompt engineering
It is not fine-tuning someone else’s model and shipping wrappers around external APIs

You will work on Matilda, trained from scratch on our infrastructure, and pushed until its behaviour is understood and improved.

Why Maincode

Maincode builds and operates the full stack: training infrastructure, model code, evaluation systems, and deployment. We run one of the largest private AI compute environments in Australia, built for the sole purpose of training and deploying large scale models.

If you want to work directly on training and evaluating a large language model built 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 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

ai researcher jobs in cremorne, vic

AI Researcher

Expression of Interest — Heidi Entry Program

Research Fellow, Australian Centre for AI in Medical Innovation

Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure

Founding ML Researcher

Senior UX Researcher

Technical Program Manager, Integrations

Senior UX Researcher

Research Fellow - Federated & Multimodal Learning

Research Fellow in Computational & AI Modelling (Infectious Diseases)

AI Software Engineer (Model Training)

Research Officer

Technical Implementation & Support Engineer (APAC)

Associate Professor (Research), Australian Centre for AI in Medical Innovation

Undergraduate Vacation Studentships - CSIRO Futures

Associate Professor/Professor, Generative AI

Content Designer

Data Scientist, Applied Science

Marketing Campaign Executive

AI Infrastructure Engineer