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.
UMELIFE is a groundbreaking intelligent social lifestyle platform. It use intelligent socialization, emotional companionship as the starting point, redefining the concept of close friends, and ushering in a whole new lifestyle in the era of intelligence. Utilizing AI technology, we offer users five functional modules including emotional socialization, entertainment games, news updates, dynamic posting, and intelligent price comparison, all closely related to daily life, providing people of all ages and genders with a fun-filled intelligent living experience. Our platform is backed by investment from Brightoil Group, a renowned entity specializing in energy and upstream oil and gas exploration.