Senior AI Research Scientist – NLP, Information Retrieval & LLMs (Spain Remote)
$55,300–$70,000 year
HybridMadrid, Madrid, Spain
Madrid, Madrid, SpainHybridFull Time$55,300–$70,000 yearSenior LevelDoctorate Or Professional DegreeEnterprise
Full TimeSenior LevelDoctorate Or Professional DegreeEnterprise
Job Summary
Assess state-of-the-art techniques and research novel ideas to improve them for large-scale problems in recommender systems, NLP, and generative AI. Lead the development of machine learning innovations to solve complex business challenges with minimal supervision while designing advanced experiments to guide technical strategy. Build relationships to understand business context, then collaborate with Applied AI and Engineering teams to enable research adoption. Mentor other scientists, lead scientific publications, and communicate technical vision to stakeholders across functions.
Required Qualifications
- 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.
Desired Qualifications
- 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.
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