Company Description

About Nearmap

Property intelligence is reshaping how the world understands the built workplace, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it.

We move fast, we care about craft, and we're proud of what we're building. If you're energized by turning hard problems into real-world impact, we'd love to meet you.

Job Description

The Senior Machine Learning Engineer is a core contributor to Nearmap's algorithmic systems for creating conflated map data products. You will translate research and development from the AI & Computer Vision team into data-driven solutions, working with petabytes of aerial imagery and geospatial data to transform raw observations into high-quality, actionable insights.

Key Responsibilities:

- Design, build, and operate software systems that process large-scale aerial imagery and geospatial data through fully automated, cost-effective pipelines
- Profile and debug conflation pipelines to identify and resolve unexpected artefacts near property boundaries
- Collaborate with computer vision researchers to understand model confidence scores and their implications for downstream data quality
- Design, build, and maintain sub-components of the conflation system in collaboration with data scientists and CV researchers
- Review code and work of peers, utilising agentic coding tools as part of standard development practices
- Ensure compliance with Nearmap values, policies, and standards, as well as all local statutory requirements
- Adhere to company guidelines and the corporate Code of Conduct, acting ethically when dealing with company assets and colleagues

Qualifications

Required Experience

- Demonstrated 5+ years' experience working in a numerical field (e.g., applied mathematics, physical sciences, computer vision, or geospatial analysis)
- Proven ability to produce high-quality production numerical code with a focus on business outcomes




- Strong systems thinking approach, balanced with pragmatism
- Commitment to software engineering principles for scientific Python, with attention to clean code and robustness

Mandatory Skills

- Programming & Environment: Proficiency in scientific Python, Linux environments, and Git for source control
- Machine Learning: Understanding of machine learning fundamentals, including regularisation, hyperparameter optimisation, and validation methods
- Scientific Approach: Ability to formulate hypotheses and apply statistical tests to validate them
- Engineering Approach: Application of modern software engineering best practices to build robust, scalable machine learning systems

Highly Desirable Skills & Experience

- Working with large datasets that exceed memory constraints and require distributed computing across multiple nodes
- Experience in cloud-native environments using highly scalable compute infrastructure
- Operationalisation of numerical applications and workflows in production settings
- Machine learning applications to image and geospatial data at scale
- Familiarity with tools such as Docker, PyTorch, and geospatial libraries (Shapely, GeoPandas/GeoPolars)

Personal Attributes

- Pragmatism: Ability to balance theoretical knowledge with practical solutions that deliver working products
- Collaboration: Strong communication skills, knowledge sharing mindset, and openness to ideas from team members; experience working on shared codebases in commercial environments is valued
- Attention to Detail: Demonstrated care and precision in work that matters
- Professional Conduct: Commitment to company values, policies, and ethical standards in all dealings with company assets and colleagues

Additional Information

Why you'll love 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.

Nearmap offers:

- In addition to versatile time off, Nearmap offers 4 extra "YOU" days off each year - take a break, no questions asked
- Generous parental leave policies for growing families.
- Work from Overseas Policy - explore the world in the approved list of cities while you work!
- Discounted Private Health Insurance plans
- A Nearmap subscription (naturally!).

Learn More About The Work We Do:

YouTube Page

LinkedIn Page

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.

Some of our benefits:

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

- Quarterly wellbeing day off - Four additional days off annually for your 'YOU' Days
- Wellbeing and technology allowance
- Annual flu vaccinations
- Hybrid flexibility for this role
- Nearmap subscription (of course!)
- Stocked kitchen with access to all the snacks you need
- In-office lunch every Tuesday and Thursday at our Sydney CBD office
- Showers available for anyone cycling to work or lunchtime gym-goers!

Why you'll love working at Nearmap:

We move fast and work smart; often wearing multiple hats. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.

Learn More About The Work We Do

YouTube Page

LinkedIn Page

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.

📌 Senior Machine Learning Engineer (Barangaroo)
🏢 Nearmap
📍 Barangaroo