generalrobotics - Robotics Engineer - Singapore: AI Specialist
Requirements
• Undergraduate or Master’s degree (completed or in progress) in Robotics, Computer Science, or a related technical field, or equivalent practical experience. • Current and ongoing work authorization in the country of employment. • Research experience in machine learning, robotics, and computer vision. • Experience with developing robotics algorithms or machine learning models at scale. • Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax. • Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. • Direct experience in robotics, computer vision, or machine learning research. • First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL). • Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, Maniskill among others. • Experience building efficient robotics pipelines involving sensor fusion and model inference • Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection. • Good understanding of systems considerations and the ability to factor these into model choices.
Responsibilities
• Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models. • Develop and adapt advanced AI models, such as Vision-Language-Action (VLA) models, to robotics applications (e.g., computer vision, SLAM, navigation). • Define research goals informed by practical engineering concerns. • Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation). • Work with high fidelity simulation platforms for synthetic data generation. • Design data loading and training pipelines for large scale foundation model training. • Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results. • Platform Development & Data Collection: Translate field-tested patterns and customer requirements into scalable, automated features for the GRID platform, and lead data collection campaigns as well as model training for specific customer projects (including synthetic data from simulations, teleoperations, and motion capture).
Benefits
• The typical base pay range for this role is 82000 SGD - 220000 SGD. Your actual pay will be based on factors such as skills and experience.
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