<div>About Kuku</div><div>Kuku is India's leading mobile-first premium storytelling platform. Its flagship apps include Kuku TV for microdrama, Kuku FM for audiobooks and stories, and Guru for microlearning.</div><div> </div><div>Kuku has grown to 400M+ installs across its apps, spanning 1,000+ cities in India. The platform hosts 20,000+ titles across 7+ languages and has empowered over 50,000 creators.</div><div> </div><div style="text-align: justify;">Founded in 2018 by three IITians and Forbes 30U30 honorees, Kuku is backed by marquee investors including MS Dhoni, Fundamentum, Krafton, Vertex Ventures, Granite Asia, IFC, and other leading global venture capital firms.</div>

Kuku FM

About the job
As a Machine Learning Engineer II, you will be instrumental in advancing our recommendation algorithms and content embeddings, as well as building predictive models for user monetization and marketing intelligence. In this role, you will also explore the intersection of Generative AI and Recommendation Systems, leveraging agentic workflows to create more intuitive and autonomous content creation, analysis and discovery experiences. This role directly drives the growth and success of our Video and Audio Stories Platform by building next-generation, AI-driven content discovery and creation experiences.
Responsibilities
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Recommendation Systems: Design and develop large-scale recommendation systems serving millions of users, with a strong focus on personalization, scalability, and efficiency.
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ML Execution: Drive the ML execution, specifically around feed ranking and recall-oriented candidate generation systems.
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Agentic Systems &amp; GenAI: Design and implement advanced agentic frameworks (e.g., using LangGraph) utilizing LLMs and VLMs for end-to-end content lifecycle management, including automated metadata enrichment, deep content understanding, and novel interactive recommendation loops.
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Monetization Prediction: Develop and deploy predictive ML models for user monetization events, including subscription likelihood, trial conversion, and virtual currency (coins) usage forecasting.
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Marketing Intelligence &amp; Optimization: Design and implement machine learning solutions to optimize marketing spend and campaign performance, leveraging data from platforms like Meta.
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Technical Ownership: Provide guidance in ML model formulation, experimentation, and deployment. Take end-to-end ownership of ML systems, including key user-satisfaction metrics.
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Architecture &amp; Strategy: Contribute to the architectural strategy of complex ML systems, integrating agentic reasoning to improve how systems meet the needs of users and content stakeholders.
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MLOps &amp; Infrastructure: Design and maintain robust, low-latency deployment and monitoring pipelines for large-scale recommendation and GenAI models, ensuring high reliability and performance.
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What We’re Looking For
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Model Training &amp; Serving: Hands-on experience training and serving large-scale ML models using frameworks such as PyTorch or TensorFlow.
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Production Experience: Proven track record of productionising machine learning models, including designing and managing end-to-end ML systems and data pipelines, leveraging technologies like Feature Stores, specialized vector databases (e.g., Pinecone, Milvus), or cloud-native MLOps platforms.
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Recommendation &amp; GenAI Expertise: Direct experience in building large-scale (million+ users) solutions for feed ranking. Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph) is highly desirable.
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Monetization &amp; LTV Experience: Practical experience developing ML models for predicting user lifetime value (LTV), churn, or subscription conversion.
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Marketing Analytics Focus: Experience in marketing analytics, attribution modeling, and processing data from advertising platforms like Meta to inform business strategy.
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Research Awareness: Stay up-to-date with the latest advancements in recommender systems, Generative AI agents, and applied machine learning.
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Education &amp; Experience: Bachelor’s or Master’s in Computer Science, Machine Learning, Statistics, or a related engineering field, with 3+ years of relevant experience or 2+ years combined with a Master’s degree, with a proven ability to own and deliver complex ML systems.
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Why Join Us?
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Opportunity to work in a fast-growing audio and content platform.
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Exposure to multi-language marketing and global user base strategies.
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A collaborative work environment with a data-driven and innovative approach.
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Competitive salary and growth opportunities in marketing and growth strategy.
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About KUKU
Founded in 2018, KUKU is India’s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India’s largest cultural exporter of stories, culture, and history to the world with a firm belief in “Create In India, Create For The World”.
We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres in entertainment, spanning multiple formats and languages, KUKU continues to push boundaries and redefine India’s entertainment industry.
🌐 Website: www.kukufm.com
📱 Android App: Google Play
📱 iOS App: App Store
🔗 LinkedIn: KUKU
📢 Ready to make an impact? Apply now!