Applied Research Scientist

Applied Research Scientist at Ironwood Digital in Barcelona or Remote | JobFluent - Jobs - Companies - For employers - English ### Ironwood Digital Category Industry Salary €75,000 - €110,000 Workplace Remote Hours Full-Time Internship No Skills Share offer ## Job Description Alinia’s Mission We are an early-stage AI startup on a mission to help organizations deploy generative AI applications safely, responsibly, and at scale. If you’re excited about building foundational infrastructure for enterprise-grade GenAI, and thrive in fast-moving, high-ownership environments, we’d love to hear from you. Our platform and API ensure organizations can deploy LLMs in a secure, controlled, and auditable way. We’re creating the most trustworthy foundation for AI in the enterprise — where governance, alignment, and compliance are built-in from day one. About the Role At Alinia, our Applied Research Scientists play a pivotal role in creating the AI intellectual property and technologies that drive the development of Alinia's Alignment Platform. This role demands a profound understanding of LLMs, their evaluation, and effective alignment with a given set of values and policies. Applied Research Scientists are action-oriented and hands-on, tasked with developing practical AI tools that solve the main challenges our customers encounter with the safe and responsible deployment of LLM applications and that can be seamlessly integrated into our Platform. This role is designed for those ready to apply their expertise actively and decisively within a dynamic development environment. Responsibilities - Innovate and refine evaluation methods that assess LLMs along multiple alignment dimensions. - Create robust techniques for synthetic data augmentation to enhance the assessment of LLMs. - Develop streamlined approaches for aligning LLMs through supervised fine-tuning and preference optimization. - Document research projects, progress, and experimentation results and share findings with the broader team. - Work closely with the product development team to transform research insights into actionable AI solutions and strategies for the Alinia Platform. - Keep up-to-date with the latest trends and developments in LLM evaluation, alignment, optimization, and related technologies. Requirements - MSc in Computer Science, AI, Linguistics, or a related field. - Demonstrated research capability with publications in reputable AI, ethics, or machine learning conferences and journals. (Example conferences: AAAI, ICML, ACL, NeurIPS, FAccT, AIES, CHI) - Strong programming skills in Python. - Experience with ML frameworks such as TensorFlow, PyTorch, or JAX. - Proven experience in LLMs, ML, or NLP (strict requirement). - Demonstrated knowledge and practical experience in LLM training (strict requirement). Nice to have - PhD in Computer Science, AI, Linguistics, or a related field. - Contributions to open-source projects or public datasets in the field of AI. - First-author publications at peer-reviewed AI conferences. - Experience with one or more of the following: - Synthetic data generation, LLM as a judge frameworks, and LLM post-training. - Training, optimizing, evaluating, or improving LLMs. - Agentic AI frameworks such as LangChain, LangGraph, AutoGen, or CrewAI. Why Join Alinia? - Cutting-edge tech: Work on one of the most important challenges in AI—alignment, safety, and trust - High ownership & growth: Be a core part of the early engineering team with massive upside - Flexible work: Hybrid in Barcelona or remote work in Spain - Collaborative culture: Small, experienced, mission-driven team - Impact: Directly shape the technical foundation of an AI governance platform adopted by enterprises #### Read full job description ## About Ironwood Digital - Website - Industry Ai - Headquarters Barcelona, Spain - Company Size 2-10 - Founded 2023 We are an early-stage AI startup on a mission to help organizations deploy generative AI applications safely, responsibly, and at scale. If you’re excited about building foundational infrastructure for enterprise-grade GenAI, and thrive in fast-moving, high-ownership environments, we’d love to hear from you. Our platform and API ensure organizations can deploy LLMs in a secure, controlled, and auditable way. We’re creating the most trustworthy foundation for AI in the enterprise — where governance, alignment, and compliance are built-in from day one. ## Other data scientist jobs that might interest you...