Machine Learning Engineer

Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward.

Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world.

Overview

The Machine Learning (ML) Systems Engineer is a key architect of the platform that empowers our teams to build, deploy, and operate AI models at scale. You will design and build the core infrastructure, pipelines, and tools supporting everything from traditional ML to Large Language Models (LLMs). This is a high-impact software engineering role for those passionate about building robust, scalable systems that improve developer velocity and enable the effective application of AI across the organization.

Key Responsibilities

• Build the Core Platform : Design, build, and operate our ML infrastructure on Kubernetes for model training and inference.
• Develop Force-Multiplier Tools : Create tooling to streamline the end-to-end ML / LLM lifecycle (e.g., experiment tracking, RAG systems, model observability).
• Drive Best Practices : Design and implement MLOps and AIOps principles to improve automation, reliability, and security.
• Collaborate and Enable : Work closely with Data Scientists and ML Engineers as your internal customers to understand their needs and accelerate their work.

Personal Attributes

Qualifications

Key Requirements

Experience building or managing infrastructure on a major cloud platform (AWS, GCP, Azure).

Additional Information

Some of our benefits

Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include :

Working at Nearmap

We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.

If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.

Read the product documentation for Nearmap AI :

display / ND / NEARMAP+AI

For a deep dive into Nearmap AI, listen to AI Systems Senior Director Mike Bewley on the Mapscaping podcast blogs / the-mapscaping-podcast / collecting-and-processing-aerial-imagery-at-scale

Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

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