# AI Research Resident - Company: [Maincode]() - Location: Australia - Remote: Yes - Team: Residency - Employment type: Full Time - Posted: June 11, 2026 ## Job description Maincode is an Australian AI research company building Matilda, an assistant that understands complex work, reasons over context, and takes meaningful action safely. The AI Research Residency is a paid 3 to 6 month program for late-stage PhD students and exceptional early-career researchers who want to pursue high-impact AI research grounded in real systems. Residents work closely with Maincode's research and engineering teams, with dedicated access to large-scale GPU compute and our in-house research infrastructure. You will explore open problems, run experiments at scale, and produce work that can contribute to top-tier publications, open research, infrastructure, or the systems behind Matilda. This role is research-first, but applied. Strong projects may take the form of model research, evaluations, infrastructure, technical engineering work, or product-facing research that improves Matilda and future Maincode systems. ## **Research areas** We are interested in research that makes AI systems more capable, reliable, efficient, and useful in the real world. The residency program is primarily focused on the following areas: **Agents** * Tool use, planning, memory, computer control, multi-agent systems, and safe execution in real-world environments. * Long-context reasoning, workflow understanding, state tracking, memory systems, and methods for maintaining coherence across complex tasks. **Safety and evaluation** * Capability evaluations, alignment, oversight, interpretability, robustness, red-teaming, and benchmarks for real-world task completion. **Training and algorithms** * Language model training, reinforcement learning, reasoning methods, optimisation, architectures, and new approaches to improving model behaviour. **Data** * Data curation, filtering, synthetic data, mixture design, quality verification, pruning, and principled approaches to training signal. **Multimodal systems** * Vision-language models, grounding, perception, multimodal reasoning, and systems that combine language, visual context, and action. **Efficiency and infrastructure** * Training and inference efficiency, kernels, parallelism, sharding, decoding, quantisation, scheduling, and systems for running large models reliably. ## **Responsibilities** * Lead research that advances Maincode's work on capable, useful, and trustworthy AI systems. * Design and execute experiments, develop new research directions, and collaborate closely with our researchers and engineers. * Produce research outputs suitable for top-tier conferences, journals, technical reports, open-source releases, or deployment in Matilda and future Maincode systems. ## **Qualifications** * Late-stage PhD student, recent PhD graduate, or exceptional early-career researcher. * Strong research taste and the ability to identify important problems before they are obvious. * Experience publishing, preprinting, or producing high-quality research in AI, machine learning, or adjacent technical fields. * Ability to define and execute independent research under uncertainty. * Interest in building AI systems that can reason, act, and operate reliably in complex real-world environments. ## **What you will have access to** * Dedicated access to Maincode's GPU compute and research infrastructure. * Close collaboration with a small, high-calibre team across AI research, systems engineering, product engineering, and design. * Support for top-tier conference and journal submissions, with the opportunity for strong research to contribute to Matilda and future Maincode systems. * A research environment focused on deep work, technical seriousness, and real-world impact. ## Apply [Apply on Maincode]() Canonical job page: