Large Language Model Algorithm Engineer, Volcano Ark

3 days ago


Singapore MyCareersFuture Full time
About the Role

We are seeking a highly skilled Senior AI Engineer to join our team as a Large Language Model Algorithm Developer. In this role, you will be responsible for contributing to the advancement of next-generation artificial intelligence technologies, including large models, multimodal capabilities, text comprehension, generation algorithms, and reinforcement learning within the context of Volcano Ark.

Key Responsibilities
  • Contribute to the development and implementation of large language models and related technologies.
  • Drive the practical application of relevant technologies in business scenarios, including but not limited to knowledge base question-answering, voice assistants, Text2Code, summarization and instruction extraction, role-playing, intelligent content creation, etc.
  • Conduct in-depth tracking and research on cutting-edge technologies in large models and related areas, including but not limited to NLP (Natural Language Processing), CV (Computer Vision), multimodal capabilities, and embodied intelligence.
Requirements
  • Bachelor's degree or above in Computer Science, Engineering or equivalent is preferred, with 1+ years of experience building scalable systems.
  • Excellent coding skills, a solid foundation in data structures and algorithms, and familiarity with deep learning frameworks such as PyTorch.
  • Experience in the fields of natural language processing, computer vision, video understanding, reinforcement learning, etc., is preferred.
Preferred Qualifications
  • In the large model field, preference will be given to those who have led impactful projects or published influential papers.
  • Priority will be given to those with experience in pre-trained models and downstream applications in NLP, CV, video, etc.
  • Preference will be given to candidates with publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, KDD, etc.), relevant internship experience, or ACM competition winners.


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