Machine Learning Engineer, Bumble Inc.

• The ideal candidate combines strong business acumen, extensive experience in machine learning applications along with a passion for tech
• An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
• Hands-on experience in delivering machine learning models to production at scale
• Experience in writing production-quality Python code
• Comfortable working with Python data science and machine learning libraries such as scikit-learn, TensorFlow, Keras, pandas, numpy, PyTorch, XGBoost
• Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting
• Comfortable working with Docker and containerised applications
• Experience accessing and combining data from multiple sources and building data pipelines (ETL)
• Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers, and non-technical stakeholders
• Ability to combine business intuition with the application of advanced solutions
• A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
• A curious mind, self-starter and endlessly keen to learn and develop themselves professionally

Desirable

• Bumble is looking for machine learning engineers to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable
• Concretely, this means implementing, deploying and maintaining state of the art machine learning models that help Bumble provide a safe and engaging experience for our users and improve the way Bumble operates
• Work in a cross-functional team alongside data scientists and machine learning scientists
• Implement and deploy cutting-edge machine learning models for measurable impact across the business
• Create the tools, frameworks and libraries that enable the acceleration of our ML product delivery
• Drive improvements to our current AI workflows in terms of process, performance and testing
• Mentor and coach team members on ML engineering best practices
• Build capabilities for our MLOps platform

• In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc)
• If you need reasonable adjustments at any point in the application or interview process, please let us know