AI Research Resident
Maincode
full-time
Posted on:
Location Type: Hybrid
Location: Australia
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About the role
- 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
- 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
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligencedeep learningoptimisationreinforcement learningprobabilistic modellingsystems-level AI researchexperimental designdata analysisalgorithm development
Soft Skills
curiosityindependenceself-directioncollaborationlearning agilitycommunicationfeedback exchangeproblem-solvingcritical thinkingadaptability