ph3bAbout Alinia /b /h3pWe are an early-stage AI startup on a mission to enable the safe and compliant deployment of AI Agents in regulated industries, worldwide, through our Regulatory Guardrails Auditing platform. We ensure conversational AI agents adhere to companies’ business policies and regulations at scale, like Investment Guard /ppWe envision a future where compliance is encoded in any autonomous system, steered by human experts. The goal is to augment compliance experts’ capabilities, empowering them to become key enablers in the deployment of AI Agents in the most critical scenarios at scale. /ppCo‑founders Ari and Carlos come from leading ML platform at Twitter and LLM governance at Hugging Face. /ppAt Alinia, our bApplied AI Research Interns /b play a pivotal role in exploring new possibilities and capabilities for Alinia's Alignment Platform. This role demands a scientific mindset, a technical understanding of LLMs, and LLM development experience. We expect our interns to be self‑motivated, action‑oriented and hands‑on. During the internship, interns will be expected to design, execute, and deliver their solutions to key challenges our customers encounter with the safe and responsible deployment of LLM applications. However, we don’t expect our interns to work alone. A mentor will be assigned throughout the internship to provide guidance, planning, and support. Interns will also be expected to participate in weekly meetings where they will share progress and present results.



This role is designed for students who are ready to apply their expertise actively and decisively within a dynamic development environment. /ph3bRole Overview /b /h3pDeveloping a robust and holistic alignment strategy and platform that combines state-of-the‑art evaluation and optimization techniques, Responsible AI best practices and the realities of running a business is a complex task with bapplied research at the center /b. /ppAs an Applied AI Research Intern at Alinia, you will experimentally design, develop, evaluate, and execute a project to support the training, evaluation, or use of Large Language Model (LLM)-based guardrails. Example projects include, but are not limited to: /pulliThe development of a robust, automated approach to quantitatively measure synthetically‑generated data quality. /liliThe incorporation of explanations for our LLM guardrails to provide post‑hoc rationales for why content was blocked. /liliPruning and quantization of LLMs without sacrificing out‑of‑distributions performance. /li /ulpWe strive to create intern projects that provide the right mix of problem solving, learning, and real‑world application as possible while also aligning with the student’s interests. As a member of a small team,



this role presents a unique opportunity to make direct contributions to a real‑world product. Your work will directly shape the art of the possible for our customers and their clients. /ph3bMinimum Qualifications /b /h3ulliMS student in Computer Science, AI, Linguistics, or a related field. /liliProven experience in LLMs, ML, or NLP. /liliAt least one publication in reputable AI, ethics, or machine learning conferences and journals. /liliStrong programming skills in Python. /liliExperience with ML frameworks such as TensorFlow, PyTorch, or JAX. /liliDemonstrated knowledge and practical experience in LLM training (Please note: this is a strict requirement for the position). /li /ulh3bPreferred Qualifications /b /h3ulliPhD student in Computer Science, AI, Linguistics, or a related field. /liliContributions to open‑source projects or public datasets in the field of AI. /liliFirst‑author publications at peer‑reviewed AI conferences. /liliExperience with synthetic data generation, LLM as a judge frameworks, LLM post‑training. /liliExperience with explainable AI (XAI). /li /ulh3bWhy Join Alinia? /b /h3ullibCutting‑edge tech /b: Work on one of the most important challenges in AI—alignment, safety, and trust /lilibFlexible work /b: Hybrid or remote work, with preference for CET time zone /lilibCollaborative culture /b: Small, experienced, mission‑driven team /lilibImpact /b: Directly shape the technical foundation of an AI governance platform adopted by enterprises /li /ul /p #J-18808-Ljbffr

📌 Applied AI Research Intern (España)
🏢 Alinia AI
📍 España