Transforming Maritime Operations through Machine Learning and Robotics

20 hours ago

Perth, Western Australia beBeeMachineLearning Full time
Senior Machine Learning Engineer

We are seeking an experienced Senior Machine Learning Engineer to join our team and contribute to the development of cutting-edge robotics applications.

About the Role
  • This is a unique opportunity to work on real-world maritime projects, utilizing machine learning algorithms for robotics applications.
  • The successful candidate will be responsible for designing, implementing, and optimizing machine learning models for robotics tasks, including sensor integration and perception systems.
Key Responsibilities
  • Design and Implementation: Develop and implement machine learning algorithms for robotics applications, ensuring efficient and accurate results.
  • Sensor Integration and Calibration: Integrate various sensors, including cameras, radar, and IMUs, and calibrate them for optimal performance.
  • Computer Vision and Sensor Fusion: Develop computer vision algorithms for autonomous navigation and object detection, as well as implement sensor fusion techniques for enhanced perception accuracy.
  • MLOps Experience: Build and maintain machine learning pipelines from data collection to deployment, using containerization tools and model versioning.
Technical Expertise
  • Programming Skills: Strong proficiency in Python and C++, with experience in ROS/ROS2 and machine learning frameworks such as PyTorch, TensorFlow, ONNX, and TensorRT.
  • Computer Vision: Advanced knowledge of computer vision techniques and libraries, including OpenCV and CUDA.
  • Sensor Fusion: Experience with sensor fusion algorithms combining multiple data sources, ensuring accurate and reliable results.
Benefits
  • Cutting-Edge Technology: Work on real-world maritime projects, utilizing cutting-edge technology and machine learning algorithms.
  • Collaborative Team: Join a collaborative and dynamic team, working closely with other engineers and experts in the field.
  • Professional Growth: Take advantage of opportunities for professional growth and development, staying up-to-date with the latest advancements in machine learning and robotics.
Requirements
  • Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
  • Experience: Minimum 5 years of experience in machine learning engineering, with a strong focus on robotics and sensor integration.

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