Top AI & Machine Learning Jobs in Sydney, NSW

Build and evolve strategic AI features across the software development lifecycle, including Jira Coding Agent and Autodev. Partner with a feature team to increase agent adoption and invocation, applying strong full-stack engineering skills with a backend focus and product-oriented mindset.

Design, build, deploy, and operate evaluation and optimization systems for Rovo AI agents. Develop offline benchmarks, online quality metrics, model-based judges, and production monitoring. Use evaluation results to improve prompts, retrieval, tool use, routing, quality, cost, and latency. Lead projects from problem definition through delivery, contribute to technical reviews, coach engineers, and communicate ML trade-offs to stakeholders.

Lead the technical direction for AI agent quality at Atlassian Studio. Design evaluation architecture, benchmarks, datasets, observability, experimentation, regression gates, and drift detection for production agents. Improve tool use, routing, task success, and model quality while balancing cost, latency, reliability, privacy, and access control. Partner across product, data science, AI teams, and model providers, mentor engineers, and deliver measurable improvements to agentic systems.

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Design, build, deploy, and operate agentic LLM harnesses powering Rovo AI features. Improve production model quality, reliability, and cost; develop evaluations, datasets, benchmarks, fine-tuning, and model-serving capabilities. Shape long-term LLM engineering direction, lead technical initiatives, influence stakeholders, guide virtual squads, and coach junior engineers.