Senior Machine Learning Engineer - Trust & Safety
UK London
Data & Analytics – Machine Learning /
Employee - Regular/Permanent /
Hybrid
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