Are you ready to revolutionise the way people find meaningful connections? Bumble is looking for a Machine Learning Scientist to join our People Recommendations team and play a key role building our cutting-edge recommendation system to empower millions of users across Bumble Inc.’s apps to discover love and friendship.
You will have the opportunity to leverage billions of user interactions, millions of profiles and multi-modal data (text, images and user behaviour signals) to research, develop and deploy state of the art machine learning solutions that will redefine how people connect and form relationships online.
If you have a strong product sense, extensive experience in a variety of machine learning applications, and a passion for creating impactful technology to shape the future of online connections, we want to hear from you!
THE RECOMMENDATIONS TEAM
We are a team of passionate machine learning, software engineer and data science professionals who focus on designing and building products that power our mission of “creating a world where all relationships are healthy and equitable, through Kind Connections.” We partner with wider business stakeholders, Product, and other Engineering teams to build state-of-the-art recommendation systems for Bumble Inc. We are passionate about improving the experience of our members through leveraging AI and Machine Learning in our products.
What you will be doing:- Explore, develop and deliver cutting-edge technology using the latest advances in deep learning and machine learning to personalise recommendations at Bumble, e.g. graph neural networks, computer vision, natural language processing (NLP), representation learning, reinforcement learning, etc
- Optimise model performance while balancing computational efficiency and scalability within Bumble’s MLOps platform to deploy and scale models
- Work in a high-impact environment conducting large-scale experiments with velocity and driving product innovation
- Work in a cross-functional team alongside product managers, scientists and engineers
- Communicate complex concepts and experiment results with both technical and non-technical audiences
- Keep up with state-of-the-art research and industry trends in recommendation systems and machine learning
We'd love to meet someone with:- Advanced degree in a relevant field such as Computer Science or equivalent experience
- Industry experience in researching or applying machine learning (e.g. recommender systems, search, ranking, user modelling, graph representation learning, reinforcement learning, personalisation)
- Deep expertise in modern machine learning architectures (e.g. transformers, graph neural networks, contrastive learning and multi-modal embeddings)
- Proven ability to develop novel ML algorithms, adapt state-of-the-art research to real-world applications, and deliver tangible impact
- Experience in writing production-quality Python code for solving machine learning tasks using ML frameworks such as Pytorch or Tensorflow
- Strong product sense/intuition
- Excellent communication and storytelling skills
- Experience thriving in a fast-paced, dynamic environment and contributing positively to team collaboration and company culture
- A genuine passion for Machine Learning, and a thoughtful approach to AI fairness, accountability, and transparency.
Bonus points for:- Publications in top Machine Learning conferences/journals
