Talent Engineer at Maincode (Australia)
Maincode· Australia·
Role details
Job description
About Maincode
Maincode is an AI research and engineering company. We build Matilda, Australia's large language model, trained, served and deployed here in Melbourne. We run our own GPUs in local data centres and we build everything above them: the racks, the training and serving systems, and the products that run on them.
About the Role
The hardest problem at Maincode is not the tech. It is finding the small number of people who can build a frontier AI company. We are a small team with a high bar, and we treat this as an engineering problem.
Your job is the technical screen. You will run the vetting stage for engineering candidates: conversations built on technical fundamentals, testing what each candidate claims to know. You will also build the systems the pipeline runs on: screening tooling, dashboards, and the automation that turns hundreds of applications a week into a small number of good decisions.
You do not need recruiting experience. You need technical fluency, precision with language, and genuine curiosity about people.
What You'll Do
- Screen engineering candidates and produce the reads the team hires from; automated and built into systems you design.
- Design and build talent systems and tooling.
- Work day to day with our talent and engineering teams.
- Calibrate with the engineers who run the later rounds.
You Might Be a Fit If
- You studied computer science or have equivalent experience. You can judge an answer about fundamentals.
- You are interested in both people and tech.
- You can code (by hand) well enough to build real tools, but you do not want production engineering to be your job.
- You are warm and you are exact.
Why work at Maincode
- Culture: “Small team doing hard things.” High ownership, move fast, ship without permission. Values: ownership, gradient (fast learning), range, speed, taste, humility. No ego, mission‑first.
- Work environment: On‑site in Melbourne, Australia (some hybrid/remote possible with visits). Emphasis on craft and shipping.
- Research perks: For researchers – paid residency, ability to publish at top venues (NeurIPS, etc.), access to dedicated GPU cluster, direct line to production.
- Engineering focus: Modern tech stack (Python, PyTorch, CUDA, Kubernetes, Terraform, GCP); engineers work on inference infrastructure, model training, safety evals, and product features.
- Growth opportunity: From 17 people to planned expansion; early employees can shape the direction of the product and research agenda.