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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 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.

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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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- 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

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- 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 setting.

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