Company: Moomoo
Company Website: https://apply.workable.com/moomoo/
Company Background:
Moomoo was created because we realized that the investment platforms available were either too complicated with no real support, or the tools and data needed for users to invest smarter were inaccessible. The investment world was filled with barriers and paywalls which made investing seem like it was only for professionals or the wealthy. We wanted investors of all levels to confidently take on the market and have a platform that provides all the needed tools and data, along with the support and inspiration from a global community of investors. Together, we strive to make smarter investing accessible to everyone.
Job Title: Fresh Grad Hire - Machine Learning Engineer (Large Model Applications)
Job Type: Graduate Job
Target Students: Final Year
Job Description:
1. Research cutting-edge technologies in areas such as machine learning and natural language processing, including but not limited to large language models (LLMs), multimodal models, world models, generation, dialogue, and information extraction.
2. Apply LLMs to core enterprise scenarios to enhance model performance through methods such as Continued Pretraining, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), and Retrieval-Augmented Generation (RAG).
3. Explore the application of the most advanced AI technologies, stay abreast of academic and industry trends, contribute to open-source projects or publish research papers, and enhance the team's influence in the field of large models.
Job Requirements:
1. Master's or Ph.D. Candidate majoring in Computer Science, Mathematics, or a related field.
2. Solid foundation in machine learning, NLP, and LLMs. Strong conceptual and hands-on abilities, excellent research skills. Prior experience in publishing at top-tier conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR) or awards in mathematics/programming competitions is a plus.
3. Passionate about the practical application of AI technology and groundbreaking innovations, committed to combining technological advancement with real-world value.
4. Strong self-motivation, agile thinking, pursuit of first principles, courage to tackle unknown challenges, enthusiasm for exploring the technological frontier, and the ability to proactively learn and grow rapidly.
5. Open to candidates graduating between January 2025 and August 2026.
Application Details:
https://join.futunn.com/#position
https://apply.workable.com/moomoo/
Application Deadline: 30 May 2026 (Saturday)
Date Exhibited: 22 December 2025
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