Post-Training Optimization Engineer

vor 2 Wochen


Zürich, Zürich, Schweiz DFINITY Foundation Vollzeit

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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