Large Language Model Algorithm Engineer for Code
Active AI foundation-model company offering multimodal models, consumer AI products, and an enterprise/developer API platform.
Funding history
About MiniMax Group Inc.
MiniMax develops proprietary multimodal foundation models spanning language, video, speech, and music, and operates AI-native products including MiniMax Agent, MiniMax Design, MiniMax Audio, Talkie, Hailuo AI, and an Open Platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop post-training methods for code understanding, generation, reasoning, debugging, and validation. You will build training data and interactive environments, research reinforcement learning using execution and tool feedback, create feedback-driven learning methods, and establish evaluation and error-analysis systems for continuous improvement.
Requirements
- Research experience or practical experience in model post-training, reinforcement learning, code intelligence, or related fields
- High-quality publications in international top conferences or journals
- Strong engineering and hands-on ability
- Experience leading or contributing to influential large-scale machine learning projects
- Ability to improve model capabilities through rigorous experiments
- Large-scale distributed training experience is preferred
- Competition awards or high-quality research or open-source contributions are preferred
Responsibilities
- Develop post-training methods for code understanding, generation, reasoning, debugging, and validation
- Build training data and interactive environments for complex code tasks
- Research reinforcement learning methods using execution results, tool calls, and environment feedback
- Develop feedback-driven iterative learning mechanisms
- Establish code-capability evaluation and error-analysis systems