Post-Training Optimization Engineer
vor 2 Wochen
Job Description
We are looking for a highly skilled Senior Machine Learning Engineer to join our team at DFINITY Foundation. The ideal candidate will have expertise in post-training and optimizing large language models (LLMs), as well as their integration with retrieval-augmented generation (RAG) and multi-agent architectures.
Responsibilities
- Data Preparation: Prepare high-quality LLM training data (code, text, prompts, dialogues, scenarios) and synthetic data generation.
- Model Evaluation: Establish systematic evaluation and benchmarking frameworks to assess LLM performance.
- Engine Development: Architect, refine, and evaluate engines for retrieval-augmented generation to enhance accuracy and speed of LLM integrations.
- Solution Optimization: Develop and apply sophisticated multi-agent architectures and prompt engineering to optimize our LLM solutions.
- Implementation: Implement high-quality LLM components, tools, and integrations, accompanied by comprehensive specifications and documentation.
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, specifically in post-training, fine-tuning, benchmarking, and RAG.
- Strong proficiency in Python and extensive experience with ML frameworks such as PyTorch or TensorFlow.
- Proven ability to work effectively in cross-functional teams.
- Strong analytical skills with a pragmatic approach to implementing impactful solutions.
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