AI Innovations Lead

2 weeks ago

Singapore beBeeMentor Full time $150,000 - $200,000

We are a pioneering organization in the field of artificial intelligence, focusing on transitioning from 'copilot AI' to 'autopilot AI'. Our mission is to create intelligent agents with long-term memory, reasoning, planning, and real-time learning capabilities.

Our vision is to bridge fundamental research breakthroughs with large-scale deployment, creating AI systems that integrate human-like memory and reasoning into real-world applications.

Job Overview

We are seeking a highly skilled AI Research Scientist to direct cutting-edge research and guide the development of advanced AI models and systems with both strategic and hands-on responsibilities.

This role is ideal for a researcher with a world-class publication record and a proven track record of mentoring teams and delivering high-impact AI innovation.

Key Responsibilities
  • Drive end-to-end AI research from conceptualization to deployment, focusing on long-term memory systems, multi-modal reasoning, and next-generation agents.
  • Involve in LLMs, LMMs, RAG, intelligent agents, and persistent AI memory systems, while fostering global research collaborations and shaping our technical vision.
Research Leadership
  • Publish first-author or senior-author papers in top-tier venues (NeurIPS, ICML, ICLR, ACL, CVPR, EMNLP) and file patents to protect core innovations.
  • Shape the research roadmap in alignment with our mission and business goals.
  • Translate research breakthroughs into scalable applications.
Collaboration & Mentorship
  • Mentor junior scientists and guide cross-functional AI research teams.
  • Establish partnerships with universities, research institutes, and industry leaders.
Requirements
  • Ph.D. in Computer Science, AI, Machine Learning, or related field (or equivalent top-tier research experience).
  • Outstanding publication record with multiple first-author papers in top AI conferences/journals.
  • Proven track record of delivering high-impact AI models or systems to production scale.
  • Deep expertise in LLMs, LMMs, RAG, multimodal AI, reasoning models, and memory-augmented architectures.
  • Strong programming skills (Python, PyTorch/TensorFlow) and experience with distributed training at scale.
Preferred Qualifications
  • Industry experience in deploying AI systems at scale in complex environments.
  • Cross-disciplinary research experience in NLP, CV, reinforcement learning, and cognitive AI.
Tell employers what skills you have

Mentoring, Machine Learning, Leadership, Data Science

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