ph3Job Description /h3pAbout us Joining Busuu means being part of one of the top EdTech companies in the world, a multiple award-winner recognised for its innovation and impact in language learning. Busuu's vision is to empower people through languages. We are the world's largest online community for language learning, with 120+ million registered users. We make learning a language easy by combining AI-powered courses with feedback from our global community of native speakers and lesson content designed for real life. Busuu is part of the general Chegg family. Chegg is the leading student-first connected learning platform and a NYSE listed company. /ph3What does a Senior Machine Learning / AI Engineer do at Busuu? /h3ulliBuild scale agentic AI systems: Own the design, development and deployment of production-grade agentic systems that power adaptive learning experiences — from multi-step reasoning pipelines to autonomous feedback loops that respond to learner behaviour in real time. /liliLLMs RAG architectures: Architect and integrate LLM-powered features using retrieval-augmented generation (RAG), prompt engineering strategies, and evaluation pipelines. Lead application of these to high-impact use cases such as mistake analysis, content generation, and personalised learning paths. /liliAgentic frameworks: Lead the design of multi-agent workflows using frameworks such as LangChain and LangGraph. Define agent orchestration patterns, tool use, memory, and state management strategies for production environments, and establish best practices across the team. /liliFull ML lifecycle ownership: Collaborate with Data Scientists and Senior ML Engineers to move models from experimentation to production, including feature engineering, training pipelines, online inference, and monitoring. Take ownership of reliability and quality end to end. /liliPlatform tooling development: Drive improvements to our ML infrastructure and experiment orchestration tools (e.g. MLFlow, Airflow, SageMaker, Kubernetes), and help make AI development faster and safer across the team. /liliCross-functional collaboration: Work closely with Data Engineers, Product Managers, Designers,



and other engineers to embed intelligence into our products, improve experimentation velocity, and drive measurable learning outcomes. /liliResearch innovation: Lead research spikes on emerging AI/ML technologies — from graph-based knowledge representations to advanced RAG patterns, fine-tuning strategies, and agentic evaluation frameworks. Shape our evolving AI strategy and contribute to the wider engineering community. /li /ulh3What we're looking for in a Senior Machine Learning / AI Engineer /h3ulliStrong foundations in machine learning, applied AI, and software engineering. /liliYou write clean, maintainable Python code, are comfortable designing ML pipelines, and can work across APIs and microservices at scale. /liliProven experience building and deploying agentic AI systems using LangChain and/or LangGraph — including agent orchestration, tool use, and multi-step reasoning pipelines in production environments. /liliDeep practical knowledge of LLMs (e.g. OpenAI, Anthropic, HuggingFace) and hands‑on experience with prompt engineering, vector stores, and RAG architectures. /liliYou know how to evaluate and iterate on these systems rigorously. /liliProficiency in building data and training pipelines using tools like SQL, Airflow, or AWS services (S3, SageMaker, Lambda). /liliProven track record deploying ML or AI systems to production, especially around NLP, personalisation, or recommendation. /liliA/B testing and impact evaluation experience is a strong plus. /liliGraph-based data structures or graph databases (e.g. Neo4j, NetworkX) is a strong plus. /liliExcellent communication skills and ability to work collaboratively in a diverse, cross‑functional team. /liliYou take ownership, iterate fast, and make others around you better.



/liliStrong analytical thinking and genuine curiosity about the user experience and pedagogical impact of AI solutions. /liliExperience in EdTech, adaptive learning, or consumer personalisation is a big plus, not a requirement. /li /ulh3At Busuu we want to ensure that you have access to some great benefits /h3ulliCentrally located offices with free breakfast, snacks, and fresh fruit /lili2 free lunches per week from a wide selection of restaurants /liliGreat Private Health Insurance scheme /liliPersonal training budget to keep growing /liliFlexible working hours and a hybrid model of working /liliEnhanced maternity and paternity leave /liliFrequent social activities: team lunches, Thursday socials, quarterly events /li /ulh3What happens next? /h3ulliCV review – We'll review your application as quickly as possible. /liliLet's chat – A quick call with our team about your experience and the role. /liliFirst Interview – With the Hiring Manager. /liliCultural Interview – Interview about soft skills and value alignment with the team. /liliTechnical Interview – Structured questions covering core AI/ML engineering knowledge with team members. /li /ulpOur platform is for everyone, and so is our workplace. We embrace our differences — cultural, racial, religious, or otherwise - and believe every voice matters. /ppIf this sounds like the kind of place where you coulxd thrive, we'd love to hear from you. /ph3What is Chegg? /h3pAn ‘always on’ digital learning platform. Chegg puts students first…Everything we build in this company is student-focused, making us the leading student-first connected learning platform. Chegg strives to improve the overall return on investment in education by helping students learn more in less time and at a lower cost. This is achieved by providing students a multitude of educational tools from affordable textbook rentals to Chegg Study which supplements their learning through 24/7 tutor access, step‑by‑step help with questions, and more. Chegg is a publicly‑held company based in Santa Clara, California and trades on the NYSE under the symbol CHGG. /p /p #J-18808-Ljbffr

📌 Senior Machine Learning / AI Engineer (Madrid)
🏢 Chegg
📍 Madrid