AI/ML Engineer

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About the Company:

An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content.

Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to their platform is a dynamic, ML-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms.

With stellar founders, a team of rockstar engineers & AI-ML Engineers, and strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance their mission with innovation, speed, and impact.

Position Overview:

As an AI/ML Engineer, you'll design, develop, and deploy core recommendation and personalisation systems that power their matchmaking experience. You'll engineer the full lifecycle - from R&D to deployment - while laying the foundation for scalable, real-time ranking infrastructure.

What You'll Do

• Develop match-making, recommendation, ranking and personalisation systems.
• Help create novel real-time adaptive matchmaking engines that learns from user interactions and other signals
• Design ranking and recommendation algorithms that make each user's feed feel curated for them
• Build user embedding systems, similarity models, and graph-based match scoring frameworks
• Deploy models to production using fast iteration loops, model registries, and observability tooling

Ideal Profile (must-have):

• AI/ML engineer with prior work experience in personalisation, recommendation, feed ranking, or search.
• 2-5 years of work experience working as an AI/ML Engineer or Data Scientist for a product at scale.
• Prior experience building & deploying end-to-end AI/ML features/pipelines in production.
• Prior experience in various recommendation & personalisation techniques - collaborative filtering, deep retrieval models (e.g., two-tower), learning-to-rank, embeddings with ANN search, etc
• Strong foundation & work experience in classical ML, Deep Learning or Data Science.

Nice to Haves:

• Experience with vector search, graph-based algorithms and LLM based approaches is a big plus.
• UG/PG degree in Computer Science, Data Science, AI or related field from a premier institute.
• Experience working in GenAI: AI Agents, RAGs, Prompt Engineering, Fine-Tuning, RLHF, etc
• Experience working in/for Dating or Consumer Tech products or companies

Perks:

• Work with a stellar team of Product & AI/ML Engineers and founders with terrific track-record
• Join as founding team member where your work is core to product experience
• Contribute to a platform that directly impacts how people form meaningful relationships
• Competitive Salary with significant ESOPs for wealth creation