Engineering Manager - Machine Learning (AI)

Location: Richmond, Melbourne VIC, Australia; hybrid and flexible working

Company

hirify.global develops property products covering home discovery, financing, selling, and renting experiences.

What you will do

• Build and lead a dedicated residential machine learning team across multiple product tribes.
• Establish the team’s mission, working practices, delivery approach, and engineering standards.
• Coordinate priorities, timelines, capacity, and delivery outcomes with product managers, designers, and engineering teams.
• Provide technical guidance across machine learning, data science, data engineering, architecture, and code quality.
• Guide AI/ML products and data capabilities for value, packaging, on-market experiences, agent workflows, selling, and renting.
• Partner with AI specialists and distributed global teams on shared capabilities, technical patterns, and delivery.

Requirements

• Experience as an engineering leader, Engineering Manager, Staff Engineer, or Principal Engineer in machine learning, data science, data engineering, or software engineering.
• Strong conceptual and fundamental knowledge of AI and machine learning, including data, models, evaluation, architecture, and production trade-offs.
• Experience leading software, data, or ML teams delivering high-quality products or API-driven outcomes.
• Ability to review code, identify design and architectural risks, and provide constructive technical challenge.
• Experience working with global, offshore, or distributed teams and managing changing priorities, ambiguity, timelines, and capacity.
• Knowledge of modern software engineering practices, cloud architecture, data platforms, or ML engineering workflows.

Culture & Benefits

• Hybrid and flexible approach to working.
• Birthday leave and options to purchase additional leave.
• Flexible parental leave for primary and secondary carers.
• Volunteering leave, community grants, matched payroll giving, and community-focused programs.
• Hackdays and opportunities for learning, growth, and experimentation.