Joël Ouaknine

Job Description

Requirements

• Required: A PhD degree (earned or near completion) in algorithmic verification
• machine learning
• information extraction
• large language models
• databases
• knowledge graphs
• or a related field. Strong algorithm design and coding skills
• along with proficiency in popular ML development frameworks such as TensorFlow
• PyTorch
• and frameworks for building LLM-based applications
• such as LangChain and LlamaIndex. A thorough understanding of Large Language Models' underlying techniques and experience in fine-tuning or customizing such models. Research publications in top-tier journals or conferences. In exceptional cases
• industry experience with a solid background in industry-based software engineering that has led to highly innovative products or results could partially or fully replace the publication requirements. Ability and willingness to liaise with industrial partners and to work on problems of practical relevance. Ability to supervise students and/or research assistants. Proficiency in written and spoken English. (Knowledge of German is not necessary.) Beneficial: Proficiency in RAG or GraphRAG-related techniques
• along with experience in building RAG-based applications. Research experience in topics relevant to generating accurate results with LLMs
• including hallucination detection and correction. Relevant experience in fields such as Information Extraction from Unstructured Text
• Knowledge Graph Enrichment
• Databases
• or Fuzzy Logic. Industrial experience
• particularly experience in areas like Big Data Engineering and MLOps
• coupled with familiarity with cloud services such as AWS. A product-oriented mindset and product design capabilities. Experience with software verification. Experience leading teams or projects
• as well as supervising junior developers or researchers.