Machine Learning Engineer

As an ML Engineer, you’ll design and deploy the core recommendation and personalisation systems that power our matchmaking experience. You’ll own the full lifecycle - from design to deployment - while laying the foundation for scalable, real-time ranking infrastructure.

What You'll Do:

• 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 that make each user's feed feel curated for them
• Build user embedding systems, similarity models, and graph-based match scoring frameworks
• Explore and integrate cold-start solutions
• Partner with Data + Product + Backend teams to deliver great customer experiences
• Deploy models to production using fast iteration loops, model registries, and observability tooling
• Build the ML engineering team and culture

Ideal Profile:

You are a full-stack ML data scientist-engineer who can design, model, and deploy recommendation systems and ideally have led initiatives in recsys, feed ranking, or search

• 3–6 years of experience working on personalisation, recommendations, search, or ranking at scale 
• Prior experience in a B2C product – social, ecommerce, fashion, dating, gaming, or video platforms
• Exposure to a wide range of popular recommendation and personalisation techniques, including collaborative filtering, deep retrieval models (e.g., two-tower), learning-to-rank, embeddings with ANN search, and LLM approaches for sparse data personalisation.
• Can train models AND ship them – experience with end-to-end ML pipelines 
• Understands offline and online evaluation, A/B testing, and metric alignment
• Experience with vector search, graph-based algorithms and LLM-based approaches is a big plus

Why Join US Now

• Join a founding team where your work is core to the product experience
• Shape the future of how humans connect in the AI era
• Significant ESOPs and wealth creation + competitive cash compensation