Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building a high-performance runtime for autonomous AI agents to perceive, reason, and act within the Resolution Platform with an accent on agent orchestration, memory structures, and multi-agent coordination. Focus on designing domain-specialized models via RL on production trajectories and hardening evaluation gates for enterprise-scale deployment.

Location: Hybrid in Melbourne, Australia

Company

hirify.global is a CX company building a Resolution Platform to transition from Systems of Record to Systems of Action using AI-driven automation.

What you will do

• Advance the iterative planner architecture to handle ambiguous goals and manage memory interference under concurrent sessions.
• Design and implement multi-agent delegation patterns using the Agent-to-Agent (A2A) protocol.
• Develop RL training infrastructure, including reward curricula and rollout systems, to create domain-specialized models.
• Build robust multi-turn evaluation suites and automated trajectory analysis integrated into CI.
• Implement multi-layered enterprise guardrails and supervisor patterns to prevent tool misuse and hallucinations.

Requirements

• 5+ years of experience building production ML/AI systems.
• Hands-on expertise in agent architectures, including planning, tool dispatch, memory, and error recovery.
• Strong evaluation instincts with a track record of building internal evals to bridge the gap between benchmarks and production.
• Fluency in Python and PyTorch.
• Must be based in or able to work from the Melbourne, Australia office (Hybrid).

Nice to have

• Deep experience with Reinforcement Learning (RL) for language models, specifically reward shaping and online/offline tradeoffs.

Culture & Benefits

• Hybrid work model combining purposeful in-person collaboration with remote flexibility.
• Inclusive and fulfilling employee experience within a global organization.
• Commitment to global diversity, equity, and inclusion.