We’re looking for an AI Model Engineer who thrives at the frontier of applied AI, representation learning, and high-performance model design.

Summary

Role SummaryWhat You’ll Be DoingWhat We Need to SeeWays to Stand OutWhy Join Us?

Role Summary

We’re seeking an AI Model Engineer to help build the model foundation for AI-native data infrastructure. You’ll work on embedding models, efficient neural architectures, semantic representation, and high-throughput inference systems that make large-scale object storage searchable, understandable, and automation-ready.

This role is not about building a conventional chatbot or application-layer RAG product. It is about designing and optimizing the models that allow data platforms to understand files, metadata, documents, logs, images, and structured content at scale.

You’ll work closely with engineering leadership to prototype, benchmark, and productionize models that can operate over massive volumes of enterprise data with strong performance, practical latency, and real-world retrieval quality.

What You’ll Be Doing

Design,



train, fine-tune, and evaluate embedding models for documents, objects, metadata, and multimodal data.
Explore high-performance neural architectures, including CNN-inspired models, gated convolutional blocks, efficient sequence models, transformers, and hybrid architectures.
Build models optimized for semantic search, classification, clustering, tagging, similarity matching, and automated data discovery.
Optimize inference performance through batching, quantization, distillation, pruning, compilation, and accelerator-aware deployment.
Evaluate model quality using retrieval, recall, clustering, semantic similarity, and downstream search benchmarks.
Work with large-scale datasets extracted from object storage, structured files, logs, documents, and enterprise data sources.
Prototype and benchmark new model architectures rapidly, then help bring the best ideas into production.
Collaborate with systems en

📌 AI Model Engineer — Embeddings (Madrid)
🏢 FastS3
📍 Madrid