drjobs Machine Learning Engineer (LLM)

Machine Learning Engineer (LLM)

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1 Vacancy
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Job Location drjobs

Sydney - Australia

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description

I trained the model... but Ive never seen it fly.

If thats ever crossed your mind this might be the role that changes that.

Weve got the prototype working. Now were scaling. Thats where you come in.

The Role

Were looking for a Machine Learning Engineer who knows how to train Large Language Models from scratch - someone whos worked with real datasets not just wrappers around APIs. Youll be designing the systems that sit between a human voice and an autonomous drones behaviour helping us build recursive agentic frameworks that actually think before they act.

And yes - if youve spent the last few years doing deep research in LLMs and youre ready to take that work out of the lab and into the field we want to hear from you.

What Youll Be Doing:

  • Designing training and fine-tuning LLMs from scratch (no shortcuts)
  • Building out chain-of-thought frameworks and multi-step reasoning agents
  • Working closely with robotics and speech teams to bring your models to life
  • Contributing to an evolving agent architecture with plans for vision-language integration
  • Helping us make the leap from early success to scalable field-tested autonomy

Wed Love to See:

  • Real experience training transformer-based LLMs (e.g. GPT LLaMA custom)
  • Comfort building and managing your own datasets
  • Familiarity with agentic AI tool-calling or recursive planning
  • Exposure to speech-to-text pipelines or model context protocols (MCP)
  • Passion for deploying ML models in the real world - not just reading papers about it
  • The drive to build something no one else in Australia is doing right now
  • A genuine hunger to learn build ship and improve

A Note on Fit

Were open to junior candidates (23 years experience) if youve gone deep into LLMs and are ready to move fast. What matters most to us: hunger curiosity and deep technical understanding.

Were also open to junior candidates as well as PhD graduates or anyone with a research background in LLMs/NLP/ML - especially if youre ready to leave academia behind and make a tangible impact.

Were also open to relocation support and yes - well sponsor the right person if theyre not based in Australia yet.

You wont just be building another chatbot. Youll be designing the brain of a robot that reasons decides and acts - in the wild.

If that sounds like something worth doing lets talk.

Thas Amorim -

Employment Type

Full Time

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