Jobs at Maincode

Source and engage highly qualified engineers and researchers across GitHub, academic papers, meetups, communities, and referrals. Build genuine relationships, assess candidates’ work and fit, conduct outreach and in-person meetings, and provide concise evaluations to the talent lead. The role requires autonomy, strong judgment, enthusiasm, and effective communication to attract hard-to-reach technical talent in Australia.

Conduct structured interviews and assess technical talent using psychological principles, evaluating candidate capability, behavioral alignment, and team dynamics. The role also involves strategic sourcing, pipeline development, candidate assessment, and providing direct, rigorous feedback to help build a high-performing engineering team.

Deploy and adapt AI systems for Victorian Justice and Emergency Services customers. Responsibilities include designing, fine-tuning, evaluating, and deploying ML systems across on-premises, air-gapped, and classified environments; owning data pipelines, RAG, MLOps, security hardening, technical planning, architecture documentation, and executive briefings. The role also feeds customer insights back into the model-training team.

Lead marketing for Matilda, Maincode’s Australian-made AI stack. The role focuses on developing and improving the company’s marketing, content, communications, storytelling, and overall public narrative. The successful candidate will conduct deep research into Maincode’s work, identify opportunities to strengthen its positioning, and creatively build awareness of Matilda worldwide. Maincode seeks a highly driven, inventive, irreverent, mission-oriented marketer with exceptional standards and persistence.

Provide in-house legal counsel across AI products, including governance, regulatory compliance, legal terms, customer and partner contracts, audits, and product-related legal matters. Work independently with limited external counsel while supporting local and international growth and developing expertise in AI law.

Conduct technical screening conversations for engineering candidates, assess fundamentals, produce hiring recommendations, and build talent systems including screening tools, dashboards, and application automation. Collaborate with talent and engineering teams to calibrate evaluation standards and improve the hiring pipeline.

Build new features and improve Matilda (app, web, CLI, desktop) in production: ship quickly, improve inference performance, sharpen tooling, own projects end-to-end on the teams cluster in a small, high-agency engineering team.

Design and operate advanced AI infrastructure, focusing on GPU clusters and large-scale systems. Collaborate with researchers and develop architectural solutions from first principles.

The role involves building and maintaining back end services for a large language model, focusing on APIs, infrastructure, reliability, and system performance.

The role involves contributing to the development of Matilda, a conversational AI platform, through research, system building, and learning in various domains.

Build and maintain front end systems for Matilda's public product, focusing on user experience, performance, and reliable interactions.

The AI Researcher will design architectures, run experiments, evaluate large language models, and collaborate with ML engineers for model training and analysis.