Requirements

• Around 3+ years of hands-on experience building and shipping Machine Learning models in production
• Strong programming skills in Python and proficiency with an ML framework such as PyTorch or TensorFlow
• Industry experience researching or applying Machine Learning, ideally in areas such as recommendation systems, ranking, retrieval, search, or personalization
• Good understanding of the ML development lifecycle, including data and feature development, training, evaluation, deployment, monitoring, and iteration
• Understanding of MLOps and infrastructure concepts such as CI/CD for ML, feature stores, model serving, observability, and versioning

Nice to haves

• Practical experience building recommendation systems, ranking, retrieval, search, or personalization systems in production
• Experience with modern recommendation approaches such as embeddings, two-tower models, learning-to-rank, or representation learning

What you'll be doing

• Explore, develop, and deliver modern Machine Learning solutions that improve recommendations, matching, and personalization across Bumble
• Own defined ML problems end-to-end, from data exploration and feature engineering through model training, evaluation, production deployment, and iteration
• Use modern ML frameworks such as PyTorch or TensorFlow to design, train, and optimize models for production environments
• Contribute to experimentation, including A/B testing and offline evaluation, using results to continuously improve model and product performance
• Build, maintain, and monitor production models, diagnosing issues and improving reliability and performance at scale
• Write high-quality, maintainable code and contribute to code reviews, technical discussions, and engineering best practices
• Take ownership of delivering high-quality solutions from insight through to measurable impact, balancing speed, quality, and technical rigor
• Apply responsible AI practices, considering fairness, transparency, privacy, and member safety throughout model development and deployment
• Collaborate with Machine Learning, Engineering, Product, and Data partners to translate member and product problems into practical ML solutions

Perks and Benefits

• AI Fluency is encouraged and valued at Bumble Inc.
• Bumble Inc. is an equal opportunity employer promoting diversity and inclusion
• Fraudulent candidate detection measures are in place to protect applicants and the hiring process