{"id":3367335,"url":"https://alion.io/job/nearmap-senior-machine-learning-engineer-3","title":"Senior Machine Learning Engineer","company":{"id":4832,"name":"Nearmap","domain":"nearmap.com","url":"https://alion.io/company/nearmap","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":90000,"max_usd":236000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-10-27T22:43:04Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-02T19:52:51Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Nearmap\nProperty 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.\nWe 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.\n 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.\nWe 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.\nOn 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.\nDesign, build and run production pipelines that turn aerial imagery and other geospatial data into property-level map data.\n\nKeep those pipelines reliable: monitor runs, diagnose failures and fix root causes.\n\nMake pipelines faster and cheaper to run through profiling, better use of GPUs and distributed compute, and compiled code where it pays off.\n\nMeasure the quality of everything we produce and validate every model or pipeline change against current outputs before it ships.\n\nTurn research models into production systems that run across whole countries.\n\nDevelop geospatial algorithms, such as stitching features across tile boundaries and clipping them to property parcels.\n\nGet data to the people and systems that use it, from batch deliveries to lower-latency services.\n\nReview code and share knowledge so our scientific Python stays clean, tested and documented.\n\nBuild the tools and systems that let internal users find and use our data themselves and support them along the way.\n\n About You\nYou're pragmatic. You value theory and best practice, but you'd rather ship something that works than build something elaborate.\nYou're a team player. You communicate well, share what you know, and take good ideas from anyone in the team.\nYou're eager to learn. You bring real-world experience and still expect to pick up new things.\nWhat You'll Bring\nA bachelor's degree in computer science, engineering, statistics, physics or a related field. A master's or PhD fits well but isn't required.\n5+ years in a numerical field such as applied mathematics, physical sciences, computer vision or geospatial analysis.\nProven ability to write high-quality production numerical code with a focus on business outcomes.\nStrong software engineering in scientific Python, with a keen eye for clean code, robustness and correctness.\nStrong systems thinking, balanced with pragmatism.\nExperience with data too large for memory, computed across multiple nodes on scalable cloud compute.\nPreferred\nExperience putting numerical applications and workflows into production.\nA scientific approach: forming hypotheses and testing them statistically.\n Why you'll love working at Nearmap:\nWe 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.\nNearmap offers:\nIn addition to flexible time off, Nearmap offers 4 extra \"YOU\" days off each year - take a break, no questions asked\nGenerous parental leave policies for growing families.\nWork from Overseas Policy - explore the world in the approved list of cities while you work!\nDiscounted Private Health Insurance plans\nA Nearmap subscription (naturally!).\nLearn More About The Work We Do:\nYouTube Page\nLinkedIn Page\nThanks, 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.\nSome of our benefits:\nNearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:\nQuarterly wellbeing day off - Four additional days off annually for your 'YOU' Days\nWellbeing and technology allowance\nAnnual flu vaccinations\nHybrid flexibility for this role\nNearmap subscription (of course!)\nStocked kitchen with access to all the snacks you need\nIn-office lunch every Tuesday and Thursday at our Sydney CBD office\nShowers available for anyone cycling to work or lunchtime gym-goers!\nWhy you'll love working at Nearmap:\nWe 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.\nLearn More About The Work We Do\nYouTube Page\nLinkedIn Page\nThanks, 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. 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