Machine Learning Engineer

• Lead the technical strategy and architectural evolution of Bumble’s ML recommendation and content understanding systems.
• Partner with engineering and product leaders to align long-term ML platform investments with business priorities and member impact.
• Design and guide the development of scalable pipelines and serving systems that support pre-trained, fine-tuned, and in-house models at high throughput.
• Define and champion best practices for reliability, observability, and retraining across the ML lifecycle.
• Collaborate with ML Scientists to bring cutting-edge research into production, improving model performance and iteration velocity.
• Mentor and support other Machine Learning Engineers and Scientists, helping raise the bar for engineering excellence and technical decision-making.
• Drive cross-functional technical initiatives across Recommendations, Platform, and other product areas.
• Diagnose and resolve complex production challenges across data, infrastructure, and model systems, ensuring the long-term health and scalability of our ML ecosystem.
• Represent Bumble’s ML engineering practices internally (through guilds, design reviews, and architecture councils) and externally (through talks, publications, or open-source contributions).

Staff Machine Learning Engineer

Machine Learning Engineer – HP Digital Products Team

HPC and AI Infrastructure Software Product Manager

HPC and AI Infrastructure Product Manager

Senior Machine Learning Scientist – Search, Recommendations, AI Engineering

Mid-Level AI/ML/NLP Engineer