Senior Machine Learning Engineer (Computer Vision)

Job Description

About Abyss Abyss develops advanced computer vision and machine learning technologies to help clients monitor, inspect, and maintain critical assets and infrastructure. Our team values ownership, innovation, and cross-functional collaboration. Our products combine machine learning, robotics, and intuitive software to enable safer and more efficient monitoring, inspection, and management of critical assets. We value collaboration, initiative, and the ability to drive ideas from concept to production. Our culture emphasises ownership, leadership, and excellence - ensuring each individual can make a lasting impact. The Role Expect hands-on work in computer science and machine learning, for example, building 3D data processing algorithms and large-scale data processing pipelines. You will start to lead initiatives from prototype to production. This includes mentoring junior engineers, setting project direction, and collaborating across product teams, data operations, and robotics. Key Responsibilities Build & Optimise: Scalable ML/AI pipelines for image and 3D data Lead & Mentor: Junior engineers, ensuring best practices and code quality Collaborate: With product managers, robotics, and data operations to align on goals Deploy & Maintain: Production-ready models, data processing pipelines and tools, monitoring performance and reliability Communicate: Technical findings, risks, and feature updates effectively Requirements Hands-On Computer Vision & Machine Learning Experience: Proven track record (e.g., object detection, segmentation, 3D reconstruction), with at least five years of practical experience. Programming: Strong Python (NumPy, Pandas, TensorFlow/PyTorch) Leadership: Ability to handle uncertainty, set direction, deliver results Nice-to-Have: 3D geometry, robotics, SLAM, sensor fusion, cloud Familiar with: Linux, git, orchestration Education: Degree in Computer Science, Engineering, or related field Why Join Us? Impactful Work: Prevent disasters and improve infrastructure reliability Growth: Clear career pathways with a supportive environment for learning Flexibility: Work how you work best, from office and from home Collaboration: A diverse, talented team that values innovation and results Location Flexible workplace (within Australia). Main office: Sydney CBD. Product Work and develop with a large variety of data (e.g., images, spatial data such as point-clouds, graphs) and machine learning technologies to help people easily look after their critical infrastructure. Collaborate across machine learning, software, product, robotics, and data operations teams. Develop cutting edge technologies to solve practical problems, at-scale. Focus End-to-end development of computer vision and machine learning solutions that handle uncertainty and deliver impact at scale Some tech specifics Python and data-science libraries (e.g., Numpy, Pandas, TensorFlow, Scikit-learn) How to Apply Please send your CV, a brief cover letter, and any relevant project links. We look forward to hearing from you! #J-18808-Ljbffr