7 Learningtorank Jobs

Role Overview: As the founding ML Scientist, you will be responsible for designing and deploying the core recommendation and personalisation systems that drive the matchmaking experience. Your role will involve owning the full lifecycle of these systems, from design to deployment, and establishing the groundwork for a scalable, real-time ranking infrastructure. Key Responsibilities: - Own and develop match-making, recommendation, ranking, and personalisation systems. - Work on creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals. - Design ranking and recommendation algorithms to tailor each user's feed for a curated experience. - Build u...

Role Overview: You are being offered a role as the Founding Principal ML Engineer/ ML Scientist at an early-stage, US-based venture-backed technology company in Gurgaon. The company is focused on creating innovative platforms for building meaningful relationships by harnessing artificial intelligence. The core mission is to transform how people connect by delivering tailored content and fostering community engagement through a unique experience that resonates deeply with users. Key Responsibilities: - Own and develop match-making, recommendation, ranking, and personalization systems - Create a novel, real-time adaptive matchmaking engine that learns from user interactions and other signals -...

In this role as the founding ML lead at the company, you will be responsible for designing and deploying the core recommendation and personalization systems for a next-generation matchmaking platform. Your role will involve 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 ...

As the Founding Principal ML Engineer/ML Scientist at a venture-backed, stealth-stage technology company focusing on next-gen matchmaking and relationship platforms, your role is crucial in designing and deploying core recommendation and personalization systems for the matchmaking experience. You will be responsible for owning and developing matchmaking, recommendation, ranking, and personalization systems. Your key responsibilities include: - Own and develop match-making, recommendation, ranking, and personalization systems. - Create a real-time adaptive matchmaking engine that learns from user interactions and signals. - Design ranking and recommendation algorithms to curate each user's fe...

As the founding ML Scientist, you will be responsible for designing and deploying the core recommendation and personalization systems that drive our matchmaking experience. Your role will involve owning the entire lifecycle - from the initial design phase to deployment - while establishing a robust foundation for a scalable, real-time ranking infrastructure. In this position, your key responsibilities will include: - Owning and developing match-making, recommendation, ranking, and personalization systems. - Working on building a real-time adaptive matchmaking engine that can learn from user interactions and various signals. - Designing ranking and recommendation algorithms to create a person...

As the Founding Principal ML Engineer/ML Scientist at an early-stage, US-based venture-backed technology company in Gurgaon, you will have the opportunity to play a pivotal role in creating innovative platforms for building meaningful relationships. The company's focus is on leveraging artificial intelligence to transform how people connect, foster community engagement, and deliver tailored content. Rather than developing another traditional social app, the company aims to craft a unique experience that deeply resonates with users, making them feel truly understood. Central to the platform is a dynamic, machine-learning-powered recommendation system inspired by leading music and video platfo...

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 al...