Psychology Researcher, Talent at Maincode (Melbourne, Australia)
Maincode· Melbourne, Australia·
Role details
Job description
About Maincode
Maincode makes Matilda, an Australian-made AI stack we run end-to-end, from tin to token. We operate our own infrastructure here in Australia, train and maintain our own frontier models, and run multiple surfaces on top of them, including chat, coding, and APIs. Everything we ship is built on capability we control ourselves. We are looking for someone mission-focused to help us build the strongest team in Australia. You should be deeply curious, possess sharp judgment, and have exceptionally high standards for talent.
The Role
We value autonomy, speed, and high agency. The best way to understand this position is to review our work, understand our technical footprint, and determine how you can elevate our hiring baseline. We keep our bar exceptionally high and move with speed. If you are rigorous, self-directed, and thrive in an ambitious, engineering-led culture, you will do well here.
Qualifications & Expectations
- Psychology Background: Required. Our hiring framework relies heavily on psychological principles to accurately assess candidate capability, behavioral alignment, and team dynamics.
- Balanced Interview Load: You will spend roughly 2–3 hours per day conducting structured interviews, reserving the remainder of your time for strategic sourcing, pipeline development, and candidate assessment.
- Strong Signal: Ability to quickly evaluate high-performing technical talent and communicate direct, unvarnished feedback.
Details
- Location: Melbourne, VIC
- Type: Full-time, permanent
- Remuneration: Competitive salary (commensurate with experience) + super + equity
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.