Senior Machine Learning Engineer

About NearmapProperty intelligence is reshaping how the world understands the built environment, 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 DescriptionThe 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 pipelinesProfile and debug conflation pipelines to identify and resolve unexpected artefacts near property boundariesCollaborate with computer vision researchers to understand model confidence scores and their implications for downstream data qualityDesign, build, and maintain sub-components of the conflation system in collaboration with data scientists and CV researchersReview code and work of peers, utilising agentic coding tools as part of standard development practicesEnsure compliance with Nearmap values, policies, and standards, as well as all local statutory requirementsAdhere to company guidelines and the corporate Code of Conduct, acting ethically when dealing with company assets and colleaguesQualificationsRequired ExperienceDemonstrated 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 outcomesStrong systems thinking approach, balanced with pragmatismCommitment to software engineering principles for scientific Python, with attention to clean code and robustnessMandatory SkillsProgramming & Environment: Proficiency in scientific Python, Linux environments, and Git for source controlMachine Learning: Understanding of machine learning fundamentals, including regularisation, hyperparameter optimisation, and validation methodsScientific Approach: Ability to formulate hypotheses and apply statistical tests to validate themEngineering Approach: Application of modern software engineering best practices to build robust, scalable machine learning systemsHighly Desirable Skills & ExperienceWorking with large datasets that exceed memory constraints and require distributed computing across multiple nodesExperience in cloud-native environments using highly scalable compute infrastructureOperationalisation of numerical applications and workflows in production settingsMachine learning applications to image and geospatial data at scaleFamiliarity with tools such as Docker, PyTorch, and geospatial libraries (Shapely, GeoPandas/GeoPolars)Personal AttributesPragmatism: Ability to balance theoretical knowledge with practical solutions that deliver working productsCollaboration: Strong communication skills, knowledge sharing mindset, and openness to ideas from team members; experience working on shared codebases in commercial environments is valuedAttention to Detail: Demonstrated care and precision in work that mattersProfessional Conduct: Commitment to company values, policies, and ethical standards in all dealings with company assets and colleaguesAdditional InformationWhy 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 flexible time off, Nearmap offers 4 extra "YOU" days off each year - take a break, no questions askedGenerous 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 plansA Nearmap subscription (naturally!). Learn More About The Work We Do:YouTube PageLinkedIn PageThanks, 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' DaysWellbeing and technology allowanceAnnual flu vaccinationsHybrid flexibility for this roleNearmap subscription (of course!)Stocked kitchen with access to all the snacks you needIn-office lunch every Tuesday and Thursday at our Sydney CBD officeShowers 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 DoYouTube PageLinkedIn PageThanks, 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.