- Demonstrated history working in a numerical field: computer vision, applied maths, physical sciences, geospatial analysis.
- Strong approach to systems thinking, whilst remaining pragmatic
- 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.
- Data science is a team sport; communicate well, share knowledge, and be open to taking on ideas from anyone in the team.
- While extensive knowledge of theory and best practices are highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work.
- Working with large data sets, where data doesn't fit into memory, and requires multiple nodes to compute efficiently.
- A scientific mindset of formulating hypotheses, and applying statistical tests to validate them.
- Working in a cloud-native environment using highly scalable compute.
- Experience with operationalizing numerical applications and workflows.
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Senior Machine Learning Engineer - Barangaroo, Australia - Nearmap
Description
Job Description
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
