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This role is for one of our client companies — a VC-backed Social networking startup that has raised $10.5M USD in funding.
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Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
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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.
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We’re looking for a hands-on Machine Learning Engineer to build and scale the core real-time recommendation, ranking, and personalization engines powering a next-generation social platform. If you want to own the entire ML lifecycle from modeling to production, let’s connect.
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• 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 collaborative 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

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• 2–4 years of experience working on recommendation systems, personalisation, search, feed ranking, or related ML problems at scale
• Solid hands-on experience building recommendation, ranking, or personalisation models
• Experience with a B2C product, ideally in social, ecommerce, fashion, dating,

📌 ML Engineer (India)
🏢 CodeRound AI
📍 India