Principal Machine Learning Engineer, Matching & Recommendations
Core
Define technical and ML strategy for next-gen recommendation systems, powering matching, ranking, and personalization to optimize 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 & Social Networking / Machine Learning & AI
Deliverable
production ML models
Required skills
Machine Learning strategy, Large Language Models (LLMs) & AI Agents, Python, PyTorch, Recommendation systems, Ranking models, NLP, Distributed data pipelines (Spark, Airflow), A/B testing, Mentoring
Preferred skills
None stated
Technologies
PyTorch, Spark, Airflow, LLMs
Responsibilities
Define technical strategy for AI/ML systems; Design, develop, and deploy production-grade models; Build and deploy production AI Agents; Architect end-to-end ML pipelines; Drive experimentation frameworks; Mentor senior individual contributors; Champion responsible AI practices.
Seniority
Principal, hands-on IC with strategy & mentorship
