Senior Machine Learning Engineer

Vor 4 Tagen

Zürich, Zürich, Schweiz DFINITY Vollzeit
Key Responsibilities
  • Design and Develop: LLM training datasets for instruction following, question answering, reasoning, conversational models, and code generation to improve model accuracy, robustness, and generalization.
  • Lead Optimization Efforts: Post-training optimization efforts by integrating curated content into fine-tuning pipelines tailored to specific use cases.
  • Data Quality and Validation: Define processes for creating and validating high-quality LLM training data (code, text, prompts, dialogues, scenarios) and synthetic data generation.
  • Evaluation and Benchmarking: Establish systematic evaluation and benchmarking frameworks to assess LLM performance.
  • RAG Engine Development: Architect, refine, and evaluate engines for retrieval-augmented generation to enhance accuracy and speed of LLM integrations.
  • Prompt Engineering and Multi-Agent Architectures: Develop and apply sophisticated multi-agent architectures and prompt engineering to optimize our LLM solutions.
  • Research and Implementation: Lead experiments and apply the latest research directions in LLMs, ensuring impactful implementation.
  • Cross-Functional Collaboration: Collaborate cross-functionally with product managers, data scientists, and engineers to align solutions with business and technical goals.
  • Implementation and Documentation: Implement high-quality LLM components, tools, and integrations, accompanied by comprehensive specifications and documentation.

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