Senior Machine Learning Engineer - Trust & Safety

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Bumble is looking for a Senior Machine Learning Engineer to join our Trust & Safety team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. We are looking for talents with a broad range of ML algorithms and rich hands-on experience in creating varied ML systems. This means exploring, developing and deploying 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.

With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in a variety of machine learning applications, and a passion for tech.

WHAT YOU WILL BE DOING

• Work in a cross-functional team alongside data scientists, machine learning engineers, and both technical and non-technical stakeholders.
• Explore, develop and deliver new cutting-edge technologies for trust and safety systems.
• Leverage technology like GNNs, CatBoost/XGBoost, LLMs, etc. to create bespoke solutions for complex problems.
• Set up and conduct large-scale experiments to test hypotheses and drive product development.
• Deploy models, and lead their continuous monitoring & improvement.
• Keep up with state-of-the-art research, with the opportunity to create prototypes for the business and publish at top conferences.
• Working with our MLOps Core K8s platform directly to efficiently serve models at a global scale.

WE'D LOVE TO MEET SOMEONE WITH

• An advanced degree in Computer Science, Mathematics or a similar quantitative discipline
• 5+ years of relevant experience
• Experience with Kubernetes
• Experience leading ML projects across the full lifecycle.
• Understanding of software development processes and tools - ETL pipelines, CI/CD, testing frameworks
• Strong statistical modelling skills - hypotheses testing, inference, regressions, random variables
• The ability to work collaboratively alongside scientists, engineers and non-technical stakeholders
• A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
• A curious mind, who is a self-starter and endlessly keen to learn and develop themselves professionally

AN ADDED BONUS IF YOU HAVE

• An understanding of/experience with the Trust & Safety space
• Experience with cloud infrastructures - GCP is a plus
• Publications in top data science conferences like KDD, ECML, NeurIPS