Senior Deep Learning Engineer at Shield AI developing perception capabilities for defense applications. Focus on AI-driven real-time solutions in a collaborative engineering team.
Responsibilities
Drive R&D projects and contribute to our AI and autonomy strategy.
Research, design, and implement state-of-the-art perception capabilities, taking ideas from concept to field deployment.
Deploy and optimise our AI stack for edge devices.
Collaborate with deep learning engineers to develop scalable tools and frameworks for large-scale AI operations.
Stay up to date with cutting-edge AI and deep learning research, contributing to ongoing R&D initiatives.
Join Vision Systems, a key division of Shield AI at the forefront of perception technology innovation.
Requirements
Recent experience developing deep learning-based solutions for computer vision applications.
Strong understanding of convolutional neural networks (CNNs) and transformers for object classification, recognition, and segmentation.
Experience implementing novel deep learning architectures using frameworks such as PyTorch, TensorFlow, or Caffe.
Bachelor's, Master’s, or PhD in Computer Science, AI, or related field.
Benefits
Flexible and supportive work environment — our office is in Port Melbourne, close to Melbourne CBD.
Salary + equity for permanent roles, with flexible working options available.
AI/ML Engineer focusing on machine learning applications in oncology. Developing analytical solutions to enhance patient selection and drive next - generation assets in healthcare.
Software Development Engineer for building scalable AI platforms at Workday. Focus on agentic AI capabilities and collaborate with senior engineers and ML researchers.
Machine Learning / AI Engineering Intern at Teradyne developing AI - driven software systems and collaborating on intelligent automation projects. Focus on applied AI initiatives and real - world engineering challenges.
Senior ML Engineer at BMT designing and deploying machine - learning systems, collaborating across diverse client projects in defence and security sectors.
Machine Learning Engineer responsible for improving MIRA and developing generative AI features at Meltwater. Collaborating with a team to drive innovation and scalability in AI solutions.
AI & ML Engineer enhancing energy management software solutions at GreenPocket GmbH. Focusing on modern LLM architectures and AI integration for innovative user experience.
Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
Machine Learning Engineer at DentalMonitoring developing AI solutions for orthodontics. Responsibilities include model development, evaluation, deployment, and performance monitoring.
Machine Learning Engineer at Hiscox working on fraud detection and generative AI projects. Collaborating closely with data scientists and engineers to solve complex business challenges.
Internship focusing on programming robotic arms and using machine learning in simulations at Fraunhofer IIS. Opportunity to gain practical experience and contribute to innovative research.