3.0 - 7.0 years

0 - 0 Lacs

haryana

On-site

As an ML Engineer at an early-stage, US-based venture-backed technology company in Gurgaon, you will be responsible for designing and deploying the core recommendation and personalization systems that power the matchmaking experience. Your role will involve engineering the full lifecycle - from design, R&D, to deployment - while laying the foundation for scalable, real-time ranking infrastructure. You will be developing match-making, recommendation, ranking, and personalization systems. Specifically, you will work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. Your tasks will also include designing ranking and recommendation algorithms that make each user feed feel curated for them. Additionally, you will build user embedding systems, similarity models, and graph-based match scoring frameworks, and deploy models to production using fast iteration loops, model registries, and observability tooling. The ideal candidate for this role is an ML engineer with 3-6 years of experience working on ML Engineering or Data Science. You should have prior experience working in personalization, recommendations, search, or ranking at scale. Exposure to a variety of popular recommendation and personalization techniques, including collaborative filtering, deep retrieval models, learning-to-rank, embeddings with ANN search, and LLM approaches for sparse data personalization is desirable. Experience with end-to-end ML pipelines, vector search, graph-based algorithms, and LLM based approaches would be a significant advantage. Joining this company's founding team will allow you to play a core role in shaping the future of how humans connect in the AI era. The compensation offered includes a range of 30-50 LPA along with ESOPs, providing an opportunity for wealth creation.,

Posted 1 week ago

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