Senior Machine Learning Engineer (AI Output System...

Reflecting on your next career steps over the break? Please submit an application, and we look forward to getting in touch with you from mid January 2022.

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 dating 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. We have access to a very large data-set of roof models, and we are looking forward to the next generation of automated 3D modelling.

Interested in building and executing numerical science at massive scale? Nearmap is recruiting for multiple Machine Learning Engineers to join the Output Applications team within the AI Systems group.

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 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.

Nearmap is continually evolving, and you’ll need to thrive in a fast paced environment that changes rapidly.

A typical day will look like this

• Work within a team to deliver end-to-end technical solutions — typically starting with spike sessions, onto architectural design and test creation, iteration on the solution, measuring quality and ultimately deploying to production.
• Participation in the design and scoping of greenfield projects
• Commitment to software best practices and a strong culture of peer review.
• Depending on career trajectory, you might supervise associates.

Skills

We're after exceptional candidates, who have real world experience but are eager to learn.

Essential:

• Demonstrated history of working with difficult numerical science: e.g. computer vision, applied maths, electrical engineering, physics/chemistry simulations, geospatial analysis.
• Commitment to software engineering principles for scientific python, a keen eye for clean code, and a passion for robustness and correctness.
• Working on shared codebases to produce production quality code.

Highly desirable:

• Working with large data sets, where data doesn’t fit into memory, and requires multiple nodes to compute efficiently.
• A grasp of machine learning fundamentals.
• A scientific mindset of formulating hypotheses, and applying statistical tests to validate them.
• Working in a cloud-native environment using distributed virtual machines, Kubernetes, etc.
• Experience with operationalizing numerical applications and workflows.

Personal attributes:

• While extensive knowledge of theory and best practices are highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work.
• Data science is a team sport; communicate well, share knowledge, and be open to taking on ideas from anyone in the team.
• Showing attention to detail when it counts is important... to be considered for this role, [click this link] (https://www.dropbox.com/s/u4janrzqgfxn61l/test.tar.gz?dl=0) and apply some basic data science skills (an astute software engineer should be able to solve it quickly with a little googling!).

Tertiary 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 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.

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 podcast https://mapscaping.com/blogs/the-mapscaping-podcast/collecting-and-processing-aerial-imagery-at-scale

To hear an interview with Brett Tully, Director of AI Output Systems on the Super Data Science podcast, click this link: https://www.superdatascience.com/533

Please note: Successful candidate must have full working rights to work in Australia. Unfortunately, we are unable to sponsor visas for overseas candidates at this stage.

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.