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Large Language Model Algorithm Engineer

3 weeks ago

Singapore beBeeAlgorithm Full time $80,000 - $120,000
Job Title:
Large Language Model Algorithm Engineer

We're seeking a skilled Large Language Model Algorithm Engineer to join our team. In this role, you will design and develop algorithms related to AI assistants, including but not limited to LLM post-training/SFT/MoE, user preference alignment with RL(such as DPO/GPRO).

As a member of our team, you will be responsible for developing LLM-powered RecSys for intent recommendation, including retrieval, coarse&fine ranking, user sequential modelling & generative recommendation (GR) techniques. You will also collaborate closely with product, business, operations, and engineering teams, participating in the complete life cycle of intelligent customer service products, from problem definition, solution design, development, deployment, performance tracking and analysis, to iteratively improving the user experience of AI assistant tailored for real-world applications.

To succeed in this role, you will need to have a deep understanding of computer fundamentals, including data structures, algorithms, and machine learning. You should also be proficient in at least one programming language, such as Python, C++ & Go, and skilled in at least one mainstream deep learning framework, like PyTorch, TensorFlow. Additionally, you should have a passion for LLM-related technology and solving challenging real-world problems. Prior research or internship experience in natural language Q&A or recommendation technology is preferred.

Our ideal candidate will be an excellent communicator with a strong passion for AI-related technologies. If you're passionate about working on large language models and delivering cutting-edge results, we encourage you to apply for this exciting opportunity

**Responsibilities:**
  • \
  • Designing and developing algorithms related to AI assistants\
  • Developing LLM-powered RecSys for intent recommendation\
  • Collaborating with cross-functional teams to deliver intelligent customer service products\
  • Performing performance tracking and analysis to improve user experience