Core responsibilities (by seniority)

Mid AI Research Engineer (2–3+ years of experience)

• Experiment & Build: Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and broader ML systems. Manage reproducible research pipelines, version code, and data, and select the right frameworks for prototyping.
  Algorithmic Debugging: Actively investigate why a model isn’t converging, why outputs are inconsistent, or why results are unreliable across different ML architectures.
• Code Quality: Write clean, modular code (effective use of classes, functions, and documentation) following strict software engineering best practices.
• Autonomous Delivery: Deliver projects with a high degree of autonomy. Present results clearly, explain the AI behind your findings, and align experiments with team priorities.

• End-to-End Ownership & Strategy: Deliver clean, extendable research pipelines end-to-end. Set and drive the overall research strategy based on expected business leverage, identifying domain-wide opportunities.
• Bridge Research & Product: Translate experimental findings and research breakthroughs into clear, actionable, and deployable directions for the Data Science, MLE, and Product teams.
• Mentorship & Leadership: Supervise and mentor team members, delegate tasks effectively, and drive the adoption of impactful research innovations across broader engineering teams.
• Advanced Systems & MLOps: Utilize advanced knowledge of MLOps to define and develop robust E2E code pipelines for cutting-edge models.
• External Presence: Act as a representative of Aily's research efforts, build university relationships, and spearhead efforts to publish papers at top conferences.

Who We’re Looking For

• The Academic Background: A Master's degree (required) in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science, or a rigorous double degree.
• The Foundations (All of ML): You have zero gaps in your machine learning fundamentals. While you will work extensively with LLMs, you have a deep, mathematical intuition for classical ML, deep learning, and how models learn (and fail) across the board.
• The Tech Stack & Tools: You have extensive, highly proficient experience with Python and SQL. You possess a strong track record working with Language Models, Agentic AI workflows, and deep expertise in model fine-tuning (experience with Knowledge Graphs is a plus).
• MLOps: You are not just a researcher; you are highly capable of deploying solutions into production environments using tools like Docker and other containerization technologies.
• The Mindset (Autonomous & Sharp): You are exceptionally smart, highly autonomous, and thrive in ambiguity. You don't just wait for instructions; you proactively identify problems and rigorously test solutions. You keep up to date with the latest SOTA technology and research breakthroughs.
• The Communicator: You can present complex research results clearly to both highly technical peers and non-technical business stakeholders.
• Applicants must already have the legal right to work in Spain

Bonus Points:

• A Ph.D. in a relevant technical field is a strong plus.
• Previous experience in academic or industrial AI research labs.
• Publication record at top-tier AI/ML conferences/journals
  
  

• Locations: Madrid (MAD), Barcelona (BCN).
• Contract type: Permanent.
• Work policy: hybrid (2 days per week in the office)