Principal Machine Learning Engineer, Matching and Recommendations
Core
Define technical and ML strategy for next-gen recommendation systems, powering matching, ranking, and personalization to optimize for meaningful member outcomes.
Role type
Principal Machine Learning Engineer (Matching & Recommendations)
Builds
Production-grade recommendation systems, AI Agents, and scalable ML pipelines for a two-sided dating and friendship marketplace.
Domain
Dating and social networking / Two-sided marketplace optimization
Deliverable
production ML models | product features
Required skills
Machine learning strategy, Large Language Models (LLMs) and AI Agents, recommendation systems, ranking models, Python, PyTorch, distributed data pipelines (Spark, Airflow), A/B testing, mentoring senior ICs
Preferred skills
Experience in NLP, fine-tuning foundational models, MCP integrations, responsible AI practices
Technologies
PyTorch, Spark, Airflow, LLMs, MCP
Responsibilities
Define technical strategy for AI/ML systems, design and deploy production models and AI Agents, architect end-to-end ML pipelines, drive experimentation frameworks, partner cross-functionally to translate business challenges, mentor senior individual contributors, champion responsible AI practices
Seniority
Principal, hands-on IC with strategic influence