Senior Machine Learning Engineer

Company Description About Nearmap Property 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 Description This role is all about translating R&D from other parts of the Nearmap AI & Computer Vision team into data and ultimately, answers. You will be a core contributor to the algorithmic systems that create the Map Data behind Nearmap's AI products. Every time Nearmap flies a survey, we find and measure what's on the ground (roofs, trees, roads and much more) and turn it into foundational map data: clean, property-level data that other products build on. We work with 2D and 3D aerial imagery captured daily across whole countries, alongside property boundaries, licensed open data and other geospatial sources. We get that data into the hands of the people and systems that rely on it, and keeping it affordable and trustworthy only gets more interesting as the volume grows. We design, build, and operate software systems that take petabytes of data to transform aerial imagery to insight. The team focuses on algorithmic systems, where each node of the computational graph is a software application in its own right (such as a deep learning model or geospatial algorithm), and the goal is to produce outstanding high-quality data for customers and internal stakeholders in a fully automated and cost-effective manner. Our technology stack is based on the python scientific libraries and traverses machine vision deep learning technology such as Pytorch, and GIS tools such as the GEOS, Shapely and GeoPandas/GeoPolars libraries. We work mostly in python for speed of development and occasionally drop down to compiled libraries when we need to care about performance. On a typical day, you might spend a morning tracking down why a pipeline slows to a crawl in one region but flies through another, and the afternoon with a machine learning researcher working out what it would take to run their new model over a whole country. You could finish the day reviewing a colleague's PR that makes inference faster, checking that the numbers still come out the same. Agentic coding tools like Claude Code are a normal part of how we work, and they're well suited to the exploratory, iterative work this role involves.

Qualifications About You

• You're pragmatic. You value theory and best practice, but you'd rather ship something that works than build something elaborate. • You're a team player. You communicate well, share what you know, and take good ideas from anyone in the team. • You're eager to learn. You bring real-world experience and still expect to pick up new things. What You'll Bring Must Have

Highly Desirable

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 flexible 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.