Job Description
At Greenroom Robotics, we're revolutionizing maritime operations through cutting-edge Robotics, Autonomous Systems, and Artificial Intelligence. As Australia's leading Maritime Autonomous Systems provider, we deliver high-performance solutions to complex real-world problems with teams spread across Australia working on global projects.
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About Greenroom Robotics
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At Greenroom Robotics, we're revolutionizing maritime operations through cutting-edge Robotics, Autonomous Systems, and Artificial Intelligence. As Australia's leading Maritime Autonomous Systems provider, we deliver high-performance solutions to complex real-world problems with teams spread across Australia working on global projects.
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About the Role
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We're seeking a Senior ML & Robotics Engineer to work on our Lookout+ perception system which flows into GAMA to detect, classify, track and avoid hazards at sea.
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Key Responsibilities
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Design, implement, and optimize machine learning algorithms for robotics applications
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Integrate and calibrate various sensors (cameras, radar, IMUs)
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Develop computer vision algorithms for autonomous navigation and object detection
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Implement sensor fusion techniques for enhanced perception accuracy
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Train and evaluate machine learning models for maritime robotics scenarios
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Integrate perception systems into real-time robotic platforms
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Maintain and improve the ML pipeline from raw data to deployed model
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Implement transformations for accurate geolocation of detected objects
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Develop intrinsic and extrinsic calibration algorithms
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Required Skills
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Technical Expertise
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Strong proficiency in Python and C++, ideally with experience in ROS/ROS2
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Expertise in machine learning frameworks (PyTorch, TensorFlow, ONNX, TensorRT)
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Advanced knowledge of computer vision techniques and libraries (OpenCV, CUDA)
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Experience with sensor fusion algorithms combining multiple data sources
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Ability to implement and optimize real-time perception systems
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Proficiency in spatial transformations and coordinate system conversions
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Knowledge of camera calibration techniques
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MLOps Experience
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Building and maintaining ML pipelines from data collection to deployment
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Containerization (Docker) and orchestration tools
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Data curation and preprocessing for training and evaluation
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Model versioning, experiment tracking, and continuous integration
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Model monitoring and performance evaluation in production
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Personal Qualities
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Strong problem-solving skills and ability to work in dynamic environments
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Experience in agile development
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Excellent communication skills for cross-functional collaboration
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Passion for autonomous systems and cutting-edge technology
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Why Greenroom?
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Work on cutting-edge autonomy software for real-world maritime applications
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Work with intelligent and driven engineers who care about the impact they have on the world
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Direct impact through systems deployed in the field around the world
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Make a difference by reducing whale strikes and improving the safety of offshore operations
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Collaborative team that values learning and cross-disciplinary problem-solving
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Offices in Sydney and Perth
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Office-first but flexible work setting
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Dog friendly office (for friendly doggos)
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Well stocked pantry suitable for coffee snobs
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Competitive salary package
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📌 Senior Machine Learning Engineer (New South Wales)
🏢 Greenroom Robotics
📍 New South Wales