{"id":281698,"url":"https://alion.io/job/maincode-ai-research-resident","title":"AI Research Resident","company":{"id":450351,"name":"Maincode","domain":"maincode.com","url":"https://alion.io/company/maincode-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":159,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Function Calling","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-06-11T01:37:33Z","employer_posted_date":"2026-06-11","last_verified_at":"2026-10-28T04:53:50Z","board_verified":true,"closed_at":null,"days_open":139,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":139},"description":"Maincode is an Australian AI research company building Matilda, an assistant that understands complex work, reasons over context, and takes meaningful action safely.\nThe 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.\nResidents 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.\nThis 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.\nResearch areas\nWe are interested in research that makes AI systems more capable, reliable, efficient, and useful in the real world.\nThe residency program is primarily focused on the following areas:\nAgents\nTool use, planning, memory, computer control, multi-agent systems, and safe execution in real-world environments.\n\nLong-context reasoning, workflow understanding, state tracking, memory systems, and methods for maintaining coherence across complex tasks.\n\nSafety and evaluation\nCapability evaluations, alignment, oversight, interpretability, robustness, red-teaming, and benchmarks for real-world task completion.\n\nTraining and algorithms\nLanguage model training, reinforcement learning, reasoning methods, optimisation, architectures, and new approaches to improving model behaviour.\n\nData\nData curation, filtering, synthetic data, mixture design, quality verification, pruning, and principled approaches to training signal.\n\nMultimodal systems\nVision-language models, grounding, perception, multimodal reasoning, and systems that combine language, visual context, and action.\n\nEfficiency and infrastructure\nTraining and inference efficiency, kernels, parallelism, sharding, decoding, quantisation, scheduling, and systems for running large models reliably.\n\nResponsibilities\nLead research that advances Maincode's work on capable, useful, and trustworthy AI systems.\n\nDesign and execute experiments, develop new research directions, and collaborate closely with our researchers and engineers.\n\nProduce research outputs suitable for top-tier conferences, journals, technical reports, open-source releases, or deployment in Matilda and future Maincode systems.\n\nQualifications\nLate-stage PhD student, recent PhD graduate, or exceptional early-career researcher.\n\nStrong research taste and the ability to identify important problems before they are obvious.\n\nExperience publishing, preprinting, or producing high-quality research in AI, machine learning, or adjacent technical fields.\n\nAbility to define and execute independent research under uncertainty.\n\nInterest in building AI systems that can reason, act, and operate reliably in complex real-world environments.\n\nWhat you will have access to\nDedicated access to Maincode's GPU compute and research infrastructure.\n\nClose collaboration with a small, high-calibre team across AI research, systems engineering, product engineering, and design.\n\nSupport for top-tier conference and journal submissions, with the opportunity for strong research to contribute to Matilda and future Maincode systems.\n\nA research environment focused on deep work, technical seriousness, and real-world 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