Machine Learning Engineer
2 days ago
Two Roles available Apply at the links below:
Junior ML Engineer application form:
ML Engineer application form:
About Additive AssuranceAt Additive Assurance, we solve a major problem in metal 3D printing: making sure the parts are made right, every time. Companies in aerospace, medical devices, and other key industries use 3D printing to create amazing things, from jet engine components to surgical implants. But tiny, random flaws can cause these parts to fail. Our technology, a unique set of sensors and software, watches the printing process and catches these defects as they happen. This means safer, more reliable parts, less waste, and more trust in 3D printing as a whole. Your work here will help make this advanced manufacturing technique a reliable, everyday tool for engineers around the world.
The RoleWe're looking for a talented Machine Learning Engineer to join our small, hands-on team. You'll be a driving force behind the intelligence of our system, taking ownership of our machine learning classification framework. Your primary focus will be designing, building, and refining the deep learning models that automatically detect manufacturing flaws from our unique sensor data. This is a critical role for a builder who is passionate about applying cutting-edge ML techniques to solve real-world industrial challenges in a fast-moving environment.
What You'll Do- Design, train, and deploy robust deep learning models for classification and analysis of sensor data.
- Develop and enhance our ML framework, focusing on architectures for image and 3D data segmentation
- Design and build cutting edge workflows, model architectures, and predictive models for a unique dataset.
- Manage the entire ML lifecycle, from data pre-processing and augmentation to model deployment and training.
- Collaborate closely with our software engineering team to integrate ML models into our production software.
- Continuously research and apply the latest advancements in machine learning to keep our technology at the cutting edge.
- Proven ability to independently lead and deliver research projects with relevant experience in a machine learning or data science role.
- Strong theoretical knowledge and hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
- Proven experience in developing and implementing deep learning models, particularly image segmentation methods, and familiarity with common architectures.
- Excellent proficiency in Python and its data science ecosystem
- You must have the right to work in Australia.
- Invest in Your Growth: We provide dedicated, paid time for guided and self-directed learning to help you stay at the cutting edge of machine learning.
- Meaningful equity through our employee share scheme – you'll have a real stake in our success.
- The opportunity to work on cutting-edge technology that is shaping the future of manufacturing.
- A dynamic and collaborative work environment based in our Oakleigh office.
If you are a passionate machine learning engineer looking to make a significant impact in a growing company, we would love to hear from you. Apply now to be a part of our journey to revolutionise manufacturing. Apply here:
Location: Hybrid/Remote (Oakleigh, Melbourne area)
Preference for candidates who can be on-site at least 2 days a week.
Position: Full-time, Permanent
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