
Advanced Model Expert
7 days ago
We are seeking a highly skilled expert to advance the reasoning and planning capabilities of large models. In this role, you will enhance model performance throughout the development lifecycle, including data acquisition, fine-tuning, reward modeling, and reinforcement learning.
Key responsibilities include synthesising large-scale datasets through rewriting, augmentation, and generation techniques to strengthen models during pretraining, fine-tuning, and RL stages. You will apply advanced decoding strategies such as MCTS and A* to solve complex tasks using System 2 thinking.
Responsibilities
- Enhance reasoning and planning for large models.
- Synthesize large-scale datasets to improve model capabilities.
- Apply advanced decoding strategies to solve complex tasks.
- Investigate and implement robust evaluation methodologies.
- Teach models to interact with external tools, APIs, and code interpreters.
Requirements
- Proficiency in research experience with RL, LLM, and familiarity with large-scale model training is preferred.
- Proficiency in data structures and fundamental algorithm skills, and fluency in Python or C++/Java.
- Experience with influential projects or papers in RL, NLP, or Deep Learning is preferred.
- Excellent problem analysis and problem-solving skills.
- Good communication and collaboration skills.
Why This Role
You will have the opportunity to shape the future of large models, collaborate with world-class talent, and tackle unique projects with autonomy in an innovative environment.
What We Offer
Competitive salary and company benefits, work-from-home arrangement, and opportunities for career growth and continuous learning.
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