Senior AI/ML Platform & Engineering Lead

CoStar Group, Inc.

Sydney

On-site

AUD 250,000 - 350,000

Full time

4 days ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Generous parental leave

Competitive remuneration package

Collaborative, high-trust team

Job summary

CoStar Group, Inc. seeks a Senior Manager of AI/ML Engineering to lead a high-impact team focused on pricing Australian residential property. You will define the AI platform roadmap, own end-to-end ML pipelines, and ensure reliable, scalable production systems.

The role combines hands-on prototyping with strategic leadership across products and data platforms. You will shape technical direction, mentor senior engineers, and collaborate with stakeholders across engineering, product, and sales to

Qualifications

Leadership track record — substantial experience in AI/ML or data engineering, including several years leading and growing engineering teams.
Hands-on engineering — you design and prototype, make the case for the approach to the people who need convincing, and then lead it through to production and own it there.
Production ML depth — a strong foundation in production of ML systems and MLOps — deployment, CI/CD/CT pipelines, monitoring and drift detection, and managing reliability, scalability and cost at scale.
Generative AI in production — practical experience taking LLM/VLM or agent-based applications beyond prototype — evaluation, guardrails, deployment patterns and the operational realities that follow.
Data & cloud foundations — solid grounding in the modern data stack — a cloud warehouse such as Snowflake, a transformation framework such as dbt and a scheduler such as Airflow — plus fluency with a major cloud platform, AWS preferred, including infrastructure as code.
Platform thinking — experience owning or building an AI/ML platform and shaping its capability roadmap.
Experience in property, marketplaces, or large-scale consumer data products.
A degree in a related field
A voice in the community — speaking, writing, or otherwise contributing to the field.

Responsibilities

Lead, mentor and grow a team of senior machine learning, data and platform engineers — hiring well, coaching often, and building the next generation of technical leaders.
Define and maintain Domain's AI platform and its maturity roadmap — agent frameworks, evaluation, deployment patterns and the shared capabilities that let product teams build faster.
Take end-to-end accountability for the machine learning that prices Australian residential property — training, release, backfill and monitoring — where accuracy is measurable and downtime is expensive.
Own the pipelines, warehouse infrastructure and published data products the models and the platform run on, including the datasets other teams consume through our APIs.