Principal / Lead AI Research Engineer (Agents Team)
1 day ago
Madrid
pul liThis team operates at the bleeding edge of AI, focusing on high-impact, moderately higher-risk projects that directly influence our end product. While your day-to-day work will heavily involve Language Models and Agentic AI, we expect you to be deeply versed in all of Machine Learning /li liYou will have the runway to dive deep into model architectures, debug complex algorithmic behaviors, fine-tune state-of-the-art models, and translate your findings into deployable product enhancements /li liWhile our ultimate goal is delivering business value, we maintain a strong culture of scientific rigor. If an experiment yields novel, high-quality results, you will have the opportunity and support to publish your findings in top-tier AI conferences (e.g., NeurIPS, ICLR, ACL) /li liMid AI Research Engineer (2–3+ years of experience) /li liExperiment 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 /li liAlgorithmic Debugging: Actively investigate why a model isn’t converging, why outputs are inconsistent, or why results are unreliable across different ML architectures /li liCode Quality: Write clean, modular code (effective use of classes, functions, and documentation) following strict software engineering best practices /li liAutonomous Delivery: Deliver projects with a high degree of autonomy. Present results clearly, explain the AI behind your findings, and align experiments with team priorities /li liSenior AI Research Engineer (4+ years of experience) /li liAll of the above, plus: /li liEnd-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 /li liBridge Research Product: Translate experimental findings and research breakthroughs into clear, actionable, and deployable directions for the Data Science, MLE, and Product teams /li liMentorship Leadership: Supervise and mentor team members, delegate tasks effectively, and drive the adoption of impactful research innovations across broader engineering teams /li liAdvanced Systems MLOps: Utilize advanced knowledge of MLOps to define and develop robust E2E code pipelines for cutting-edge models /li liExternal Presence: Act as a representative of Aily’s research efforts, build university relationships, and spearhead efforts to publish papers at top conferences /li /ul h3Benefits /h3 ul liGlobal company and culture /li liHybrid working model /li liFast growth path /li /ul pWe are looking for exceptionally smart and driven AI Research Engineers to join a small, highly technical, and specialized research team at AilyMLOps: You are not just a researcher; you are highly capable of deploying solutions into production environments using tools like Docker and other containerization technologies /p h3The Academic Background: /h3 pA Master’s degree (required) in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science, or a rigorous double degree /p h3The Foundations (All of ML): /h3 pYou 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 /p h3The Tech Stack Tools: /h3 pYou 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) /p h3The Mindset (Autonomous Sharp): /h3 pYou 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 /p h3The Communicator: /h3 pYou can present complex research results clearly to both highly technical peers and non-technical business stakeholders /p h3Previous experience in academic or industrial AI research labs /h3 pPrevious experience in academic or industrial AI research labsA Ph.D. in a relevant technical field is a strong plusPublication record at top-tier AI/ML conferences/journals /p /p #J-18808-Ljbffr