ppAs Head of Machine Learning Research Intelligence, you will define and drive the research vision behind an advanced AI platform designed to automate complex digital workflows. This is a highly strategic and hands‑on leadership role where you will shape the intelligence, reasoning, and long‑term evolution of cutting‑edge machine learning systems used at scale. Working closely with product and engineering teams, you will influence the direction of AI capabilities while setting high standards for research quality, system reliability, and technical excellence. This opportunity is idóneo for someone who thrives in fast‑moving environments, enjoys solving complex challenges, and is passionate about building AI systems that deliver measurable real‑world impact. /p h3Accountabilities /h3 ul liDefine and execute the research strategy for core AI intelligence, including reasoning, planning, memory, context representation, and orchestration capabilities. /li liLead technical decisions on model architecture, determining when to build proprietary solutions or leverage state‑of‑the‑art open‑source and commercial models. /li liDesign and maintain robust evaluation frameworks to measure system quality, safety, reliability, long‑term performance, and real‑world effectiveness. /li liEstablish and oversee AI alignment, safety, and guardrail strategies to ensure responsible and dependable system behavior. /li liExplore and integrate advanced machine learning approaches such as retrieval‑augmented training, mixture‑of‑experts, model distillation, multimodal AI, and multi‑agent systems. /li liCollaborate closely with cross‑functional teams to shape product intelligence and translate research into scalable production capabilities. /li liSet high standards for technical excellence, research rigor,



and engineering judgment across machine learning initiatives. /li /ul h3Requirements /h3 ul liExtensive experience designing, building, and deploying production‑grade machine learning systems. /li liDeep expertise in evaluating model performance, understanding failure modes, and making informed architectural decisions with long‑term impact. /li liStrong hands‑on experience with Python, PyTorch and/or JAX, as well as GPU‑based training and inference environments. /li liDemonstrated ability to balance research innovation with practical product delivery and real‑world system performance. /li liExperience working with advanced AI techniques, including large language models, retrieval systems, orchestration frameworks, or multimodal architectures. /li liStrong analytical thinking, excellent problem‑solving abilities, and the confidence to make high‑impact decisions in evolving environments. /li liHigh level of ownership, autonomy, and entrepreneurial mindset with a focus on execution and measurable outcomes. /li liExcellent communication and collaboration skills, with the ability to work effectively across research, engineering, and product teams. /li /ul h3Benefits /h3 ul liFully remote position with the flexibility to work from Europe. /li liOpportunity to influence the long‑term AI research strategy of an innovative product from an early stage. /li liHigh‑impact role with significant ownership and decision‑making authority. /li liCollaborative environment with a small, highly experienced, and fast‑moving team. /li liExposure to cutting‑edge AI technologies and complex machine learning challenges. /li liTransparent and efficient interview process with timely feedback. /li liFull‑time permanent opportunity with strong career growth potential. /li /ul /p #J-18808-Ljbffr

📌 Head of Machine Learning Research & Intelligence (España)
🏢 Jobgether
📍 España