Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Developing AI agents that autonomously resolve customer service tickets, focusing on plan decomposition, memory-tier interference, and multi-agent delegation. Focus on building domain-specialized training with RL-trained models and designing multi-layered defenses against tool misuse and prompt injection.

Location: Remote, Victoria, Australia or Melbourne / Sydney (hybrid)

Company

hirify.global's customer experience software unlocks the power of billions of interactions, enabling businesses to build rich, meaningful relationships with their customers.

What you will do

• Take on challenges such as plan decomposition under ambiguous goals and memory-tier interference across concurrent sessions.
• Build reward curricula, rollout systems, and feedback loops for domain-specialized training.
• Build quality gates that block deploys when performance drops, integrated into CI from the start.
• Design multi-layered defenses against tool misuse, cascading action chains, and prompt injection.

Requirements

• 5+ years of experience building production ML/AI systems with agent architectures that handle planning, tool dispatch, memory, and failure recovery.
• Experience building internal evals.
• Fluency in Python and PyTorch, plus experience with at least one agent framework.

Nice to have

• Genuine depth in RL for language models, including reward shaping and online/offline tradeoffs.

Culture & Benefits

• Hybrid work environment with flexibility and connection, collaboration, and learning with your team.
• Offices reflect the global cities and have spaces for collaboration, quiet, and events.