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Maincode

AI Research Resident

Maincode

AI Research Resident exploring foundational AI systems from first principles at Maincode, an AI research lab building systems that move humans forward.

Posted 4/12/2026full-time🇦🇺 AustraliaMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • Propose, refine, and lead a research project that complements Maincode’s mission of building foundational AI systems from first principles
  • Design and run experiments at scale, leveraging our compute infrastructure and state-of-the-art training pipelines
  • Collaborate closely with Maincode researchers to share knowledge, exchange feedback, and develop new approaches to open problems in AI
  • Analyse results rigorously, ensuring that findings are interpretable, reproducible, and impactful
  • Share insights through internal discussions, research publications or presentations at AI conferences

Requirements

What you’ll need
  • A PhD candidate, postdoctoral researcher or faculty member with deep expertise in machine learning, artificial intelligence, or related fields
  • Strong track record of publications or ongoing research projects in areas such as deep learning, optimisation, reinforcement learning, probabilistic modelling, or systems-level AI research
  • Curious, independent, and self-directed, yet eager to collaborate and learn from others
  • Comfortable working with large-scale experiments, distributed training environments, or novel algorithmic ideas
  • Excited by ambitious, high-risk/high-reward research that challenges current paradigms.

Benefits

Comp & perks
  • Maincode provides the infrastructure and computational resources for you to explore your research ideas at scale.
  • Collaborate with researchers within core team to investigate your proposed research project.
  • Opportunity to pursue exploratory, high-impact research that is adjacent to Maincode’s core mission.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningartificial intelligencedeep learningoptimisationreinforcement learningprobabilistic modellingsystems-level AI researchexperimental designdata analysisalgorithm development
Soft Skills
curiosityindependenceself-directioncollaborationlearning agilitycommunicationfeedback exchangeproblem-solvingcritical thinkingadaptability