Linguistic Architect for Code Generation and Retrieval-Augmented Systems
vor 1 Tag
Job Description
We are seeking an experienced Linguistic Architect to join our team and contribute to the development of large language models (LLMs) for code generation and retrieval-augmented systems. As a key member of our team, you will be responsible for designing LLM training datasets, leading post-training optimization efforts, and establishing systematic evaluation and benchmarking frameworks.
Key Responsibilities:
- Design LLM training datasets for instruction following, question answering, reasoning, conversational models, and code generation.
- Collaborate with cross-functional teams to integrate curated content into fine-tuning pipelines tailored to specific use cases.
- Develop and apply sophisticated multi-agent architectures and prompt engineering to optimize our LLM solutions.
- Lead experiments and apply the latest research directions in LLMs, ensuring impactful implementation.
Requirements
- Bachelor's, Master's, or PhD degree in Computer Science, Data Science, or a related field.
- 2+ years of professional experience with large language models or machine learning frameworks.
- Strong proficiency in Python and extensive experience with ML frameworks such as PyTorch or TensorFlow.
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