Nearmap is unique. An Australian global technology company with incredible people.
At Nearmap, we have tens of petabytes of high-quality aerial imagery (covering half a million square kilometres a year at 5-7cm resolution, and regularly captured imagery back to 2009). We produce automated 3D models of entire cities, and have recently launched our new product, Nearmap AI, which turns our visual content into semantic information to power decisions in a wide range of organisations. As a publicly listed company focussed on growth, we have both the resources to allow you to succeed in your role, and the agility (thanks to cloud-based infrastructure) to rapidly take advantage of the latest developments in the field. Nearmap is continually evolving, and you’ll need to thrive in a fast-paced environment that changes rapidly.
We are recruiting for a highly skilled Data Scientist to join the AI Systems group. You will be designing, building, and operating machine learning systems that take petabytes of data to transform imagery to insight. Our technology stack is based on the python scientific libraries and traverses deep learning technology such as Tensorflow and Pytorch, cloud native technology such as Kubernetes, Kubeflow and Kafka, and GIS tools such as the Shapely and GeoPandas libraries. We are committed to software best practices including infrastructure as code, GitOps, CI/CD, and as much automation as makes sense.
You will work with an incredibly passionate and talented team of Data Scientists, Machine Learning Engineers and Data Engineers. You will design novel deep learning architectures that leverage our rich data set, multiple dates of high-resolution imagery, multi-angle source imagery and 3D textured mesh. You will be responsible for coming up with these novel architectures, designing training and evaluation methodologies, and producing the production deep learning models that are run at scale on our data. As well as multiple data sources, we ensure our models are fit for purpose within multiple geographies, and can efficiently predict on a large and growing taxonomy of labels - we use the same models to recognise objects as diverse as power poles, and large commercial and industrial buildings.
The data sets used for training the AI models are inhouse products. You will be responsible for enriching these data sets and designing efficient sampling and labelling strategies.
We are looking for highly skilled and experienced data scientist at Senior or Principal level with extensive industry experience and a track record of R&D achievements. Experience with designing and training custom artificial neural networks and deploying ML models to product is essential.
We are after an exceptional candidate, who has real world experience but is still eager to innovate and learn.
Formal education in a technical, data related field
Some of our benefits
Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include competitive pay, access to the Nearmap employee share scheme, short and long-term financial incentives, flexible working options, paid volunteer days, gym and phone rebates, and lots of development opportunities including hack-a-thons and pitch-fests.
If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.
Watch some presentations on what we do in the AI Systems group:
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.