Principal Software Engineer, AI & Matching
At Bumble, our mission is to create a world where all relationships are healthy and equitable. Our AI & Matching team plays a critical role in bringing this to life- powering the intelligence behind the experiences that help people build meaningful connections, safely and confidently.
As a Principal Software Engineer, AI & Matching, you will define and build the next generation of systems that make Bumble smarter, more adaptive, and more helpful for our members. This is a highly technical leadership role focused on designing and scaling core matching, recommendation, retrieval, ranking, and agentic AI systems that directly shape the user experience.
You will work across engineering, machine learning, product, and trust & safety to turn advances in AI into production systems that are reliable, low-latency, and deeply aligned with user value. This role is ideal for someone who combines strong software engineering fundamentals with deep experience building ML-powered products and a passion for applying AI to real user problems at scale.
What you’ll do
- Lead the architecture and technical direction for matching and AI agent systems that power personalization, discovery, recommendations, and user assistance across Bumble
- Design and build high-scale, low-latency production services for retrieval, ranking, recommendations, decisioning, and agent orchestration
- Drive the evolution of Bumble’s matching architecture, including how models, business logic, real-time signals, and product experiences work together in production
- Partner closely with ML engineers and applied scientists to productionize models for training, online inference, evaluation, and continuous improvement
- Help define how AI agents can be safely and effectively integrated into the Bumble experience, including tool use, orchestration, memory, and decision boundaries
- Make strong technical tradeoffs across classical software, machine learning, and LLM-based approaches based on latency, quality, cost, safety, and user impact
- Set engineering standards for system design, reliability, experimentation, observability, and responsible AI in user-facing intelligent systems
- Collaborate cross-functionally with Product, Design, Trust & Safety, Data Science, and Infrastructure to deliver end-to-end user experiences from concept to production
- Mentor senior and staff-level engineers, raise the technical bar across the organization, and influence architecture well beyond your immediate team
