- Clementi West Region (Singapore) Singapore
Full Time AI Research Scientist– Foundation Models - Embodied AI Jobs, Salary up to SGD 15,000 in ROBOSPEC PTE. LTD. West Region (Singapore) - Maukerja
AI Research Scientist– Foundation Models - Embodied AI
ROBOSPEC PTE. LTD.
Share
Save
Working Location
Job Description
Responsibilities
RoboSpec is looking for an AI Research Scientist to develop, train, and optimize advanced AI models for robotics and embodied intelligence.
The role will focus on multimodal foundation models, Vision-Language-Action (VLA) models, action models, and other embodied AI technologies, with an emphasis on turning research into deployable robotic intelligence.
Key Responsibilities
Develop, train, and optimize large-scale AI models for robotics and embodied AI.
Work on VLA, VLM, action models, multimodal models, and robot learning.
Design and improve model architectures, training methods, and data pipelines.
Fine-tune foundation models for robotic manipulation and real-world tasks.
Improve model efficiency, robustness, generalization, and inference performance.
Work closely with robotics engineers to deploy models on real robotic systems.
Explore and prototype state-of-the-art research in embodied AI.
Requirements
PhD in Computer Science, AI, Robotics, Machine Learning, Computer Vision, or a related field.
Strong background in deep learning and large-scale model training.
Hands-on experience with PyTorch and modern deep learning architectures.
Experience in multimodal learning, foundation models, robot learning, or related areas.
Strong research and programming skills.
Ability to independently develop and validate new model architectures and training approaches.
Preferred Experience
Vision-Language-Action (VLA) models
Multimodal foundation models
Robot learning and manipulation
Imitation learning or reinforcement learning
Diffusion models or flow matching
World models
Distributed training and GPU optimization
Publications at leading AI, vision, or robotics conferences
You will work on RoboSpec's core embodied AI models, with the goal of building intelligent models that are not only powerful, but also efficient, reliable, and deployable in the physical world.
The role will focus on multimodal foundation models, Vision-Language-Action (VLA) models, action models, and other embodied AI technologies, with an emphasis on turning research into deployable robotic intelligence.
Key Responsibilities
Develop, train, and optimize large-scale AI models for robotics and embodied AI.
Work on VLA, VLM, action models, multimodal models, and robot learning.
Design and improve model architectures, training methods, and data pipelines.
Fine-tune foundation models for robotic manipulation and real-world tasks.
Improve model efficiency, robustness, generalization, and inference performance.
Work closely with robotics engineers to deploy models on real robotic systems.
Explore and prototype state-of-the-art research in embodied AI.
Requirements
PhD in Computer Science, AI, Robotics, Machine Learning, Computer Vision, or a related field.
Strong background in deep learning and large-scale model training.
Hands-on experience with PyTorch and modern deep learning architectures.
Experience in multimodal learning, foundation models, robot learning, or related areas.
Strong research and programming skills.
Ability to independently develop and validate new model architectures and training approaches.
Preferred Experience
Vision-Language-Action (VLA) models
Multimodal foundation models
Robot learning and manipulation
Imitation learning or reinforcement learning
Diffusion models or flow matching
World models
Distributed training and GPU optimization
Publications at leading AI, vision, or robotics conferences
You will work on RoboSpec's core embodied AI models, with the goal of building intelligent models that are not only powerful, but also efficient, reliable, and deployable in the physical world.
Important Information
Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.
Learn More