????? ??? ??? This role is for one of our client companies — a VC-backed Social networking startup that has raised $10.5M USD in funding. ??????: Up to 90LPA Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities. ? ???? ??'?? ???????? CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India. Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound. ? ?????? ?? ???????? (???????????????) (4+ ????? ?? ??????????) We’re hiring a Senior ML Engineer to own the design, scaling, and deployment of real-time recommendation and personalization engines for a high-growth matchmaking platform. If you love building production-ready ranking systems and embeddings at scale, let's connect. ? ???? ???'?? ??
• Design, build, and deploy matchmaking, recommendation, ranking, and personalisation systems
• Develop a real-time adaptive recommendation engine that learns from user interactions and other behavioural signals
• Build ranking algorithms that deliver highly personalised and curated user experiences
• Develop user embeddings, similarity models, and graph-based match-scoring frameworks
• Research and implement cold-start solutions for users and recommendations with limited data
• Experiment with team-oriented filtering, deep retrieval, learning-to-rank, embeddings, ANN search,



and LLM-based approaches
• Own the full lifecycle of recommendation models, from problem definition and modelling to deployment and monitoring
• Establish and improve offline and online evaluation frameworks, A/B tests, and recommendation metrics ✅ ???'?? ? ????? ??? ?? ???
• 4–10 years of experience working on recommendation systems, personalisation, search, feed ranking, or related ML problems at scale
• Strong hands-on experience building recommendation, ranking, or personalisation models
• B2C product experience is needed (ideally in social, ecommerce, fashion, dating, gaming, video, or other consumer platforms)
• Understanding of recommendation techniques such as collaborative filtering, learning-to-rank, embeddings, similarity models, and retrieval systems
• Experience with end-to-end ML pipelines, including model development, experimentation, and/or production deployment
• Strong understanding of offline and online evaluation, A/B testing, and metric alignment ✨ ??? ???? ???
• Build the recommendation engine that shapes how millions of people connect.
• Take complete ownership of our core algorithms from day one.
• Scale a high-growth social network alongside world-class engineering talent.
• Accelerate your career in a well-funded, fast-paced startup environment.

📌 Senior ML Engineer (India)
🏢 CodeRound AI
📍 India