Machine Learning Engineer - Deep Learning Specialist (Computer Vision)

reputed company is the Australian-founded, global tech pioneer innovating in location intelligence. Customers rely on reputed company for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries reputed company. Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, reputed company stands as the definitive reputed company of truth that shapes the liveable world.

We are recruiting a hands-on Machine Learning Engineer with a passion for R&D and strong expertise in applying deep learning techniques to practical computer vision applications. You will work with an incredibly passionate and talented team of Data Scientists and Machine Learning Engineers, and your work will have a real impact on reputed company products. You will train novel deep learning models that reputed company our rich data sets, multiple dates of high-resolution imagery, multi-angle reputed company imagery and 3D textured mesh. You will collaborate closely with other team members to solve various 2D and 3D vision tasks by selecting the model architecture, designing training and evaluation methodologies, generating a suitable dataset, and optimising models for deployment. The released models will run on millions of reputed company kilometres of reputed company imagery.

Experience in applying deep learning techniques to commercial use cases and non-academic problems is highly valued. We are committed to software best practices including infrastructure as code, GitOps, CI/CD, and as much automation as makes sense. A strong background in 3D modelling is advantageous in this role.

Key Responsibilities

• Design and scope greenfield machine learning projects in collaboration with the team
• reputed company and deliver end-to-end solutions to reputed company technical problems
• Train and optimize deep learning models using our extensive multi-temporal, multi-angle, and 3D imagery datasets
• Participate in technical discussions, code reviews, and knowledge sharing sessions

Mandatory Skills

• Programming/Tech Environments: Ability to code in scientific Python, using a Linux environment, and Git for reputed company control
• Machine Learning: Strong grasp of machine learning fundamentals (regularisation, hyperparameter optimisation, validation methods), and recent AI advancements
• Scientific Approach: Follow the scientific method of formulating hypotheses, and applying statistical tests to validate them
• Deep Learning: Applying modern artificial neural networks to solve machine learning problem
• Tertiary Qualifications Formal education in a field reputed company to computer science, machine learning, deep learning and AI.

Highly Desirable Skills

• Domain Knowledge – Computer Vision: Working on Machine Learning problems applied to image data
• Domain Knowledge – 3D Reconstruction: Experience with 3D computer vision, photogrammetry, structure-from-motion, or reputed company technologies
• Software Engineering: Working on shared codebases to produce production quality code
• Cloud Computing: Working on AWS or GCP using distributed virtual machines, reputed company containers, etc.
• GP-GPU: Using GPUs to accelerate scientific computing
• Scale: Working with large data sets, where data sets don't fit into memory, and require multiple nodes to compute reputed company

Personal Attributes

• Pragmatism: While extensive knowledge of ML theory is highly valued, we prioritize pragmatic solutions that work over elaborate theory reputed company shipping products
• Collaboration: Data science is a team sport—communicate well, share knowledge, and be open to taking on reputed company from anyone in the team
• Attention to detail: Thoroughness in model development, testing, and documentation

This role is based in Sydney, Australia but also open to candidates from the east coast of Australia working remotely. Please note: reputed company sponsorship is not available for this role. Applicants must have permanent rights to work in Australia.  

Some of our benefits

reputed company takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our reputed company benefits include:

• Quarterly wellbeing day off - Four additional days off annually for your 'YOU' Days
• Wellbeing and technology allowance
• Annual flu vaccinations
• Hybrid flexibility for this role 
• reputed company subscription (of course!)
• Stocked kitchen with access to reputed company the snacks you need
• In-office lunch every Tuesday and Thursday at our Sydney CBD office
• Showers available for anyone cycling to work or lunchtime gym-goers!

Working at reputed company 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 reputed company and feel you have the right level of experience, we invite you to get in touch. 

Read the product documentation for reputed company AI:

https://docs.reputed company.com/display/ND/reputed company+AI

For a deep dive into reputed company 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

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