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AI Engineering

ML, applied science and AI platform engineers - for teams turning models into production capability.

What We Place

The roles we run, by level.

  • Senior ML & ML Platform Engineers
  • Applied Scientists & Research Engineers
  • AI Infrastructure & MLOps
  • Heads of AI / AI Tech Leads
  • Founding AI / Founding ML hires for early-stage labs
  • Stack: PyTorch, JAX, Ray, vLLM, LangChain, Triton

Where The Talent Sits

The pools we actually source from.

  • Foundation-model labs (Anthropic, OpenAI, Cohere, Mistral alumni)
  • Big-tech AI org graduates (Meta FAIR, Google Brain, DeepMind)
  • Australian AI scale-ups (Leonardo.ai, Harrison.ai, Canva AI)
  • Quant trading firms with applied-ML practices
  • PhD researchers transitioning from academia to production

Geographies

Sydney, Melbourne and remote-Australia primary. New York, London, Singapore secondary.

Comp Bands (2026)

Senior IC: $220k - $360k base. Staff/Principal: $300k - $480k base. Heads of AI: $400k+ base + meaningful equity.

Median Brief - Signed

21 days. 90% of mandates close from the first shortlist.

How We Run The Search

Four steps. Twenty-one days.

01

Brief

90 minute working session. Scorecard signed off before any outreach.

02

Search

Direct outreach across APAC, EMEA and US. 200-400 named engineers per mandate.

03

Shortlist

3-5 calibrated candidates, each with a one-page technical memo.

04

Close

Pre-closed comp, counter-offer coaching, replacement guarantee.

Recent AI Searches

Indicative of where we run.

Indicative samples drawn from recent and active mandates. Specific clients available under NDA on request.

Further reading

Related insights.

Salary

Q1 2026 AI Engineering Salary Guide

Market Signals

AI Engineer Salary Bands in Sydney vs Melbourne

Hiring Process

Why 6-Stage Interview Loops Are Slowing Down AI Hiring

Submit a brief

Run a structured AI search.

30 minute working session. No fee until placement. Replacement inside 90 days.

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