Start Date
Immediate
Expiry Date
27 Apr, 25
Salary
0.0
Posted On
28 Jan, 25
Experience
10 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Data Science, Collaboration, Research, Machine Learning, Physics, Statistics, Computer Science, It, Aws, Cloud Computing, Virtual Machines
Industry
Information Technology/IT
Company Description
Nearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward.
Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world.
The Principal Data Scientist in the Model R&D team is responsible for developing novel visual deep learning models and managing large-scale, cloud-based multi-node training systems. This role involves maintaining and evaluating existing models and systems, developing innovative architectures, designing large-scale training and evaluation methodologies, and producing production-ready deep learning models. These models utilise Nearmap’s tens of petabytes of high-quality aerial imagery and millions of highly curated labelled images.
As a core member of the R&D team, the Principal Data Scientist is expected to maintain high engineering standards, demonstrate expertise in designing and maintaining large-scale cloud training systems, and stay current with the latest advancements in AI.
Job Description
KEY SKILLS & EXPERIENCE WE ARE LOOKING FOR:
Lead a complex suite of interacting projects; either technical complexity and interdependency, or business/stakeholder interactions.
Play a key leadership role that has far reaching impact throughout the whole team – through formal reporting lines or technical and/or project leadership, you will drive the culture and technical vision for the team.
Take a very high level of personal responsibility and accountability for projects, capabilities, etc. within the team.