• Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, matching, ranking and personalisation across Bumble products, delivering measurable improvements in member outcomes, engagement and safety.
• Design, develop and deploy production-grade models using modern ML frameworks such as PyTorch, ensuring scalability, reliability and performance in high-traffic environments.
• Build and deploy production AI agents using foundation models and fine-tuned Large Language Models (LLMs), alongside sub-agents, tools and MCP integrations.
• Architect end-to-end ML pipelines, integrating large-scale data processing technologies such as Spark and Airflow with model training, evaluation, deployment and monitoring workflows.
• Define and evolve experimentation strategies, including A/B testing, offline evaluation and online measurement, to continuously improve model performance and product outcomes.
• Partner cross-functionally with Product, Engineering and Data leadership to translate complex business and member challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels.
• Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity and continuous learning across Bumble’s ML community.
• Take ownership of complex and ambiguous problem spaces, seeing initiatives through from insight to measurable impact whilst adapting approaches as new information emerges.
• Champion responsible AI practices, ensuring fairness, transparency, privacy and member safety are considered throughout the design and operation of Machine Learning systems.