3 Matchmaking Jobs

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 personalized feed for each user. - Developing user embedding systems, similarity models, and graph-based match scoring frameworks. - Exploring and integrating cold-start solutions to enhance user experience. - Collaborating with Data, Product, and Backend teams to ensure exceptional customer experiences. - Deploying models to production by utilizing fast iteration loops, model registries, and observability tooling. - Establishing and nurturing the ML engineering team and its culture. The ideal candidate for this role should: - Be a full-stack ML data scientist-engineer capable of designing, modeling, and deploying recommendation systems, with experience leading initiatives in recsys, feed ranking, or search. - Have 3-10 years of experience working on personalization, recommendations, search, or ranking at scale. - Possess prior experience in a B2C product domain such as social, ecommerce, fashion, dating, gaming, or video platforms. - Have 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. - Demonstrate the ability to train models and deploy them, with experience in end-to-end ML pipelines. - Understand offline and online evaluation, A/B testing, and metric alignment. - Bonus points for experience with vector search, graph-based algorithms, and LLM-based approaches. Joining our team at this stage offers the opportunity to: - Be part of a founding team where your contributions are integral to the product experience. - Influence the future of human connections in the AI era. - Benefit from significant ESOPs and wealth creation, along with competitive compensation. We look forward to welcoming a passionate and skilled ML Scientist to help shape our innovative matchmaking platform.,

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.,

As an intern at a leading influencer marketing agency, your key responsibilities will include working on influencer scouting. You will be utilizing your Sherlock-grade detective skills to uncover the next big influencers in the digital space. Additionally, you will be involved in matchmaking, where you will pair the agency's clientele with influencers that align with their brand. Crafting campaigns will be another crucial aspect of your role, focusing on designing buzzworthy campaigns that aim for virality. Data analysis will also be a significant part of your responsibilities, where you will delve into metrics behind successful collaborations and provide suggestions for improvements. Working at this agency comes with various benefits. You will have the opportunity for fast-track growth, learning alongside industry pioneers. The culture is designed for high-velocity growth, offering a turbo-charged environment for skill enhancement and rapid career progression. The company values transparency, with an open book policy ensuring that you are always in the loop regarding big decisions and discussions. Enjoy 24 rejuvenation days annually, along with national festive breaks. Embrace the strategic sandbox that allows you the freedom to strategize, experiment, and innovate, with a supportive environment that applauds your efforts. Collaboration is at the core of the team dynamics, fostering a culture where trust and mutual support are paramount. About the company, it is a prominent influencer marketing agency with a network spanning 16 countries, including India. Specializing in YouTube and Instagram video campaigns, the agency focuses on scaling businesses by influencing brand preference and conversions. Confluencr is renowned for its innovative strategies and cutting-edge campaigns in the digital marketing and advertising space. As an intern, you will have the opportunity to contribute to the content team, driving impactful narratives in the ever-evolving digital landscape.,