AI Research Scientist

1 day ago

Singapore MICHAEL PAGE INTERNATIONAL PTE LTD Full time

Join a frontier R&D team developing next-generation embodied AI systems Work on cutting-edge multimodal robotics research with real-world applications About Our Client Our client is a global technology company with a strong focus on advanced sensing and AI solutions for next-generation intelligent systems. Their Singapore R&D center plays a key role in developing cutting-edge technologies that bridge human-like perception and machine intelligence. The team brings together researchers and engineers passionate about robotics, multimodal learning, and embodied AI. Job Description Conduct research in embodied AI, including model design, data generation, and performance evaluation. Develop and optimize algorithms combining multimodal sensor data (vision, LiDAR, IMU, tactile, event-based, thermal, etc.). Build and validate proof-of-concept robotic systems using simulation platforms (MuJoCo, Isaac Sim, Omniverse, PyBullet). Collaborate with hardware and software teams to integrate algorithms into robotic platforms. Stay up to date with cutting-edge academic research and contribute to algorithmic innovation and benchmarking. The Successful Applicant Master’s or Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering, or a related field. Solid experience with deep learning, reinforcement learning, imitation learning, or multimodal perception. Proficiency in Python and C/C++, with hands‐on experience in ROS, PyTorch, TensorFlow, and simulation tools. Familiarity with sensor integration and robotic system debugging. Strong analytical, problem-solving, and collaboration skills. Bonus: Experience with CUDA or publications in top-tier AI/robotics conferences (CVPR, ICCV, NeurIPS, CoRL). What’s on Offer Work on frontier embodied AI research and real‐world robotics development. Access to cutting‐edge research infrastructure and collaboration with global AI experts. Opportunities to publish in top conferences and attend international research events. A dynamic, innovation‐driven environment fostering exploration and impact. Michael Page International Pte Ltd | Registration No. N #J-18808-Ljbffr

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