Developing new foundational machine learning technology behind a category-defining Business AI product, focusing on AI agent optimization, training of small and efficient foundation models, human-AI interaction, and agentic evaluation.
- Design and implement AI systems capable of handling complex workflows, including multi-step reasoning, planning, and decision making.
- Explore and apply various orchestration patterns and architectures to solve business problems effectively.
- Translate abstract requirements into reliable AI behaviors under real operational constraints such as latency, cost, and safety.
- Lead systematic experimentation across prompts, agents, model variants, and tool configurations.
- Define and implement evaluation strategies for agentic systems, including task success, robustness, failure recovery, and hallucination analysis.
- MS or PhD in Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Nice to have: Model training
- Nice to have: Autonomous agentic systems
- Nice to have: Agentic workflows
- Nice to have: Rigorous evaluation of agentic systems
Manager, Applied AI ArchitectsNewOpenAI · Sydney, Australia