> Markdown version of [/jobs/ext/311267-senior-research-scientist-machine-learning-nlp-generative-ai](https://www.wearedevelopers.com/jobs/ext/311267-senior-research-scientist-machine-learning-nlp-generative-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Research Scientist (Machine Learning, NLP, Generative AI) - **Company:** NielsenIQ - **Location:** Valladolid, Spain - **Salary:** €55,300.0 - €65,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Elasticsearch, Graph Database, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, SQL Databases, Pytorch, Large Language Models, Deep Learning, Generative AI, Git, Pandas, Scikit Learn, Information Technology, HuggingFace, Databricks - **Published:** June 17, 2026 - **Apply:** https://es.indeed.com/viewjob?jk=ff67bb6d7270f391 ## About the Role Do you have experience in SQL?, Do you have a Master's degree?, Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Description Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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