Job
Description
Role Overview Join as the founding ML lead to design and deploy the core recommendation and personalization systems behind a next-generation matchmaking platform. This role involves full ownership of the lifecycle—from ideation to production—of scalable, real-time ranking infrastructure that transforms sparse and dynamic user behavior into deeply personalized match suggestions. Key Responsibilities Build and scale matchmaking, recommendation, ranking, and personalization systems from scratch Design a real-time adaptive matchmaking engine that evolves with user interactions and multi-modal signals Develop algorithms for curated, personalized user feeds using ranking models and recommender systems Construct user embeddings, similarity frameworks, and graph-based scoring models Solve cold-start challenges with novel approaches including meta-learning and LLM-based signals Collaborate closely with product, data, and engineering teams to ensure cohesive user experiences Deploy ML models into production with strong observability, experimentation, and model management practices Help establish and grow a high-performance ML team and culture What We Look For Skills: 3–10 years of hands-on experience in building large-scale personalization, recommendation, or ranking systems Strong track record with B2C platforms—especially social, e-commerce, dating, gaming, fashion, or video Deep expertise in collaborative filtering, deep retrieval (e.g. two-tower), learning-to-rank, embedding models with ANN, and LLM-based recommendation for sparse data Practical experience with building end-to-end ML pipelines from feature engineering to deployment Clear understanding of offline/online evaluation, metric optimization, and A/B testing at scale Exposure to vector search, graph-based modeling, and reinforcement learning is a strong plus Qualifications Required Experience: 3–10 years of experience in ML-driven recommendation or personalization systems Bonus Points: Prior leadership in a product-focused ML role, experience with graph-based models, vector search, or LLM personalization Job Location Gurgaon What We Offer A pivotal role in a stealth-stage product where ML is at the core of the user experience Real impact on redefining how people build meaningful relationships through technology Substantial ESOPs and competitive cash compensation with high upside potential A fast-moving, collaborative environment with room for experimentation and innovation Opportunities to grow both as a technical expert and a team leader in a product-first organization Show more Show less
