Senior/Mid AI Research Engineer, Aily Labs

• We are looking for exceptionally smart and driven AI Research Engineers to join a small, highly technical, and specialized research team at Aily
• 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

Desirable

• This 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
• You 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
• While 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)
• 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
• Senior AI Research Engineer (4+ years of experience)
• All of the above, plus:
• 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