Senior Machine Learning Engineer (AI)

Location: Melbourne, Australia

Company

hirify.global develops customer experience software that supports billions of conversations and autonomous AI-driven customer service resolution.

What you will do

• Advance iterative AI-agent architectures for ambiguous goal decomposition, memory management, selective skill acquisition, and multi-agent delegation through the Agent-to-Agent protocol.
• Build reinforcement-learning infrastructure for domain-specialized customer-service models, including reward curricula, rollout systems, and production feedback loops.
• Improve multi-turn evaluation and automated trajectory analysis for production agent behavior.
• Integrate quality gates and regression detection into CI to prevent deployments that reduce agent performance.
• Design scalable guardrails against tool misuse, prompt injection, hallucination loops, and unsafe action chains.

Requirements

• 5+ years of experience building production ML or AI systems.
• Hands-on experience with agent architectures, including planning, tool dispatch, memory, and error recovery.
• Strong experience designing internal evaluations and understanding the gap between public benchmarks and production performance.
• Fluency in Python and PyTorch.
• Experience with at least one agent framework and the judgment to build custom systems when appropriate.
• Role location: Melbourne, Australia.

Nice to have

• Experience or deep expertise in reinforcement learning for language models, including reward shaping, online/offline trade-offs, and reward hacking.

Culture & Benefits

• Hybrid working enables in-person collaboration while allowing remote work for part of the week.
• Opportunities to work on large-scale autonomous AI systems supporting more than 100,000 hirify.global accounts.
• Inclusive and equal-opportunity workplace.
• Reasonable accommodations are available for applicants with disabilities.