Principal Machine Learning Engineer, Matching & Recommendations

About the role

As a Principal Machine Learning Engineer, you will define the technical and ML strategy for Bumble's recommendation and matching systems. You will remain hands-on while architecting scalable solutions, partnering with cross-functional teams to improve member outcomes and connection quality. This role involves leading technical influence across the organization and mentoring senior individual contributors to foster a culture of excellence.

Responsibilities

• Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, matching, ranking and personalisation.
• Design, develop and deploy production-grade models using modern ML frameworks such as PyTorch.
• Build and deploy production AI agents using foundation models and fine-tuned Large Language Models.
• Architect end-to-end ML pipelines, integrating large-scale data processing technologies such as Spark and Airflow.
• Define and evolve experimentation strategies, including A/B testing, offline evaluation and online measurement.
• Partner cross-functionally with Product, Engineering and Data leadership to translate complex business challenges into impactful ML solutions.
• Mentor and elevate senior individual contributors across the ML community.
• Champion responsible AI practices, ensuring fairness, transparency, privacy and member safety.

Required skills

• Machine Learning
• Python
• PyTorch
• TensorFlow
• Recommendation systems
• Ranking
• Retrieval
• Personalisation
• NLP
• Large Language Models
• Spark
• Airflow

Qualifications

• 10–15 years of relevant experience
• Equivalent practical experience

About the Company

Bumble Inc. is the parent company of Bumble Date, BFF, and Badoo. Founded in 2014, the platform enables people to build healthy and equitable relationships through Kind Connections.