ML Engineer, Applied LLMs | Sydney | Senior - Staff Level | Top Base + ESOP

An early-stage AI company in Sydney is looking for an applied ML engineer to own how positive its AI agents are, and what they cost to run.

The company

It builds AI agents that help engineering teams at hardware companies make sense of the huge volumes of operational data their machines generate. Small senior team, live customers in Australia and overseas, and backing from leading investors.

The role

The agents are already in daily use. You’ll decide how improvement is measured, make search and reasoning work over large, unstructured machine data, choose which models to use, and train your own where general ones aren’t positive enough.

This is applied work shipped weekly, not research. As an early hire, you’ll shape the role as well as the models.

What you’ll do
Design evaluations that show whether a change actually helped
Improve retrieval over large, messy, semi-structured data




Reduce the cost of running models in production
Fine-tune or train smaller models where general-purpose ones fall short
Build datasets from customer usage that make the product sharper over time

What you bring
3+ years of applied ML in production
Hands-on LLM systems experience: evaluation, retrieval and fine-tuning
Robust production Python
A product mindset: you’ve worked close to users, and you let data settle arguments

Nice to have
Models you’ve trained yourself, such as embeddings, fine-tunes or task-specific models
Time-series, sensor or other machine data
Experience cutting inference cost at scale
Public code or open-source work

What’s on offer

A competitive base plus meaningful equity, a small senior team, and an inner-Sydney office.

📌 Machine Learning Engineer Sydney (Australia)
🏢 ProFound People
📍 Australia