Engineering Manager (Content Machine Learning)

TL;DR

Engineering Manager (Content Machine Learning): Lead and grow a team of machine learning engineers building scalable automated content review and moderation systems with an accent on ML-driven safety, quality, and policy enforcement across multiple content types. Focus on designing robust ML systems, cross-functional collaboration, and coaching engineers to deliver impactful, user-facing solutions.

Location: Brisbane, Australia

Company

Join the team redefining how the world experiences design with flexible work options across multiple Australian cities and a focus on empowering employees.

What you will do

• Lead and grow a high-performing team of Machine Learning Engineers focused on automating content review and moderation.
• Set and execute the technical vision and strategy for ML-driven safety, quality, and policy enforcement across text, image, video, audio, and template content.
• Design and scale robust ML systems including experimentation frameworks, evaluation pipelines, monitoring, and feedback loops.
• Partner cross-functionally with Content, Product, Review Ops, and Review Engineering to deliver scalable human-in-the-loop systems.
• Drive large end-to-end initiatives from problem framing to impact measurement.
• Coach and mentor engineers to navigate complex technical challenges and foster engineering excellence.

Requirements

• Location: Brisbane, Australia
• Experience leading engineering teams in Product or SaaS environments, ideally within ML or applied AI domains.
• Passion for coaching and developing engineers and creating a culture of growth and support.
• Experience designing scalable, reliable, and extensible systems.
• Strong cross-functional collaboration skills with product, ML, and content stakeholders.
• Strategic thinking balanced with pragmatic delivery.

Nice to have

• Experience with text, image, video, and audio understanding.

Culture & Benefits

• Equity packages to share in company success.
• Inclusive parental leave policy supporting all parents and carers.
• Annual allowance for wellbeing, social connection, and office setup.
• Flexible leave options to support work-life balance and personal recharge.

Hiring process

• Virtual interviews.
• Focus on experience, skills, passion, and cultural fit.
• Accommodations available upon request during the interview process.