AI Research Scientist - Embodied Robotics

MICHAEL PAGE INTERNATIONAL PTE LTD; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global technology company in Singapore is seeking researchers in embodied AI for a dynamic R&D team. Ideal candidates should have a Master's or Ph.D. in relevant fields and strong experience in deep learning and multimodal perceptions. The position offers opportunities for publications and collaboration with experts in robotics and AI. Join a cutting-edge environment driving innovation in robotics development.

Benefits

Access to cutting-edge research infrastructure

Opportunities to publish in top conferences

Dynamic innovation-driven environment

Qualifications

• Solid experience with deep learning, reinforcement learning, and multimodal perception.
• Hands-on experience in ROS and simulation tools.
• Familiarity with robotic system debugging.

Responsibilities

• Conduct research in embodied AI and model design.
• Develop algorithms combining multimodal sensor data.
• Build and validate proof-of-concept robotic systems.
• Collaborate with teams to integrate algorithms into platforms.

Skills

deep learning

reinforcement learning

imitation learning

multimodal perception

Python

C/C++

ROS

PyTorch

TensorFlow

sensor integration

Education

Master’s or Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering

Tools

MuJoCo

Isaac Sim

Omniverse

PyBullet

CUDA

Job description

• 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. 199804751N