- Paya Lebar Road Geylang Southeast (Singapore) Singapore
Full Time AI Chief Scientist Jobs, Salary up to SGD 20,000 in KUAILU SOFTWARE (SINGAPORE) PTE. LTD. Southeast (Singapore) - Maukerja
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Job Description
Responsibilities
We are building a
proprietary LLM-powered Super AI Agent Platform
and are seeking an
AI Chief Scientist
to lead our Foundation Model / LLM technology roadmap and model training strategy.
With
NVIDIA B300 GPU resources already secured
, we are committing dedicated compute and R&D resources to developing our own large-scale foundation model capabilities.
Key Responsibilities
Lead
Foundation Model / LLM architecture and technology roadmap
Drive
pre-training, post-training, SFT, RLHF/RLAIF
, and model optimisation
Lead
large-scale distributed training and GPU infrastructure
Build and lead an
AI Research team from 0 to 1
Integrate foundation model capabilities into our
Super AI Agent Platform
Requirements
Strong hands-on experience in
LLM training, Foundation Models, model architecture, or distributed training
Deep expertise in
pre-training, SFT, RLHF/RLAIF, and LLM optimisation
Experience with
large-scale GPU clusters and distributed training
Strong research background in
AI/ML, Deep Learning, NLP, or related fields
Experience from a
leading AI lab, research institution, or top-tier technology company
is highly preferred
PhD or equivalent research experience preferred
This is a research-driven Foundation Model leadership role, not a traditional AI application or Agent product role.
Kuailu Technology is dedicated to building a one-stop AI-powered intelligent office system. With a low-code platform as its foundation and AI agents as the engine, it integrates a full-scenario office ecosystem encompassing AI-driven office work, collaboration, and meetings. The system covers all business scenarios, including HR, finance, procurement, administration, and CRM. By establishing a unified data foundation to replace multiple software systems, it breaks down internal information silos, enables seamless data flow across entire business processes, and activates core data assets related to people, capital, and materials. This transforms data into intelligent productivity, helping enterprises achieve low-cost, high-efficiency, and integrated smart office operations.
proprietary LLM-powered Super AI Agent Platform
and are seeking an
AI Chief Scientist
to lead our Foundation Model / LLM technology roadmap and model training strategy.
With
NVIDIA B300 GPU resources already secured
, we are committing dedicated compute and R&D resources to developing our own large-scale foundation model capabilities.
Key Responsibilities
Lead
Foundation Model / LLM architecture and technology roadmap
Drive
pre-training, post-training, SFT, RLHF/RLAIF
, and model optimisation
Lead
large-scale distributed training and GPU infrastructure
Build and lead an
AI Research team from 0 to 1
Integrate foundation model capabilities into our
Super AI Agent Platform
Requirements
Strong hands-on experience in
LLM training, Foundation Models, model architecture, or distributed training
Deep expertise in
pre-training, SFT, RLHF/RLAIF, and LLM optimisation
Experience with
large-scale GPU clusters and distributed training
Strong research background in
AI/ML, Deep Learning, NLP, or related fields
Experience from a
leading AI lab, research institution, or top-tier technology company
is highly preferred
PhD or equivalent research experience preferred
This is a research-driven Foundation Model leadership role, not a traditional AI application or Agent product role.
Kuailu Technology is dedicated to building a one-stop AI-powered intelligent office system. With a low-code platform as its foundation and AI agents as the engine, it integrates a full-scenario office ecosystem encompassing AI-driven office work, collaboration, and meetings. The system covers all business scenarios, including HR, finance, procurement, administration, and CRM. By establishing a unified data foundation to replace multiple software systems, it breaks down internal information silos, enables seamless data flow across entire business processes, and activates core data assets related to people, capital, and materials. This transforms data into intelligent productivity, helping enterprises achieve low-cost, high-efficiency, and integrated smart office operations.
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