About UsAt Neuracore, we're building the world's first robot learning cloud service (platform eliminates the complexity of traditional robotics development by providing a complete end-to-end solution for data collection, model training, and deployment that works across different robot types and configurations.Our multidisciplinary team is at the forefront of making robot learning accessible to organisations worldwide, from manufacturing and logistics to healthcare and research institutions. We're transforming how robotics teams develop, train, and deploy intelligent systems by providing cloud-native infrastructure that scales from small research projects to enterprise-wide robot fleets.About the RoleWe are seeking a Machine Learning Engineer to implement and integrate cutting-edge AI systems for robotics applications. You'll research and implement advanced learning algorithms, build scalable data pipelines, and translate breakthrough research into production systems. This role offers the opportunity to work on foundation models for robotics, multi-embodiment learning, and the infrastructure that will accelerate robotics development across industries.Key ResponsibilitiesTranslate research to production by implementing state-of-the-art algorithms from top-tier conferences into deployed systemsTrain deep learning models that handle multi-modal sensor data from different robot configurations and manufacturersCollaborate with senior scientists to refine existing algorithms, suggesting improvements to maximise success rate on target applicationsUtilise existing training infrastructure leveraging multi-GPU systems and distributed computing for large-scale model trainingCreate experimentation frameworks for large-scale evaluation and testing of robot learning approachesRequired SkillsAdvanced degree (PhD, Master's, or equivalent experience) in Computer Science, Robotics, Machine Learning, or related fieldDeep ML expertise in PyTorch or TensorFlow with experience in distributed training and optimisationRobotics learning experience with practical knowledge of reinforcement learning and/or imitation learningProduction software skills with ability to build scalable, maintainable systems beyond research prototypesCloud infrastructure experience with platforms like AWS, GCP, or Azure and containerisation technologiesPreferred SkillsMulti-robot systems experience and cross-embodiment learning approachesMLOps expertise including experiment tracking, model versioning, and deployment pipelinesComputer vision and sensor fusion for robotics applicationsReal-world deployment experience with robot data collection and production model servingRobotics middleware experience with ROS/ROS2 or similar frameworksFamiliarity with simulation environments and synthetic data generation
Job Title
Machine Learning Engineer