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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 dating back to 2009. We produce automated 3D models of entire cities, and have a mature machine learning model in the market, Nearmap AI, which turns our visual content into semantic information to power decisions in a wide range of organisations. We have access to very large data-sets of roof models, post catastrophe imagery, 3D structure, a labelled data set exceeding a million images, and over 40 petabytes of geospatially registered imagery. Deep learning is foundational to our work, and we need to get very creative to get the most out of our complex data.
This Senior Machine Learning Engineer 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 working closely with a team of Data Scientists and ML Engineers to rapidly iterate on new ML-driven geospatial analytics products. You’ll be doing a mix of algorithmic implementation and validation as part of a full software engineering lifecycle. The team focusses 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 in a fully automated and cost effective manner.
We design, build, and operate software systems that take petabytes of data to transform aerial imagery to insight. 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 libraries. We work mostly in python for speed of development and occasionally drop down to compiled libraries when we need to care about performance.
As a well funded company focussed on growth, we have both the resources to allow you to succeed in your role, and the agility to take advantage of the latest developments in the field. Nearmap is continually evolving, and you’ll need to thrive in an environment that changes rapidly.
A typical day will look like this
Skills and experience:
We're after exceptional candidates, who have real world experience but are eager to learn.
Essential:
Highly Desirable:
Qualifications
Formal education in a field related to numerical science (Bachelor’s degree in computer science, engineering, statistics, physics, etc.). Applicants with a Masters/PhD will fit in well within the team, but are by no means necessary — we’re more interested in what you can do!
Some of our benefits
Nearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:
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.
If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.
Read the product documentation for Nearmap AI:
https://docs.nearmap.com/display/ND/NEARMAP+AI
For a deep dive into Nearmap AI, listen to AI Systems Senior Director Mike Bewley on the Mapscaping podcasthttps://mapscaping.com/blogs/the-mapscaping-podcast/collecting-and-processing-aerial-imagery-at-scale