Senior Machine Learning Engineer, Recommendations

Bumble Inc. is the parent company of Bumble, Badoo, Fruitz and Official, providing platforms for dating, friendship, and professional networking.
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI · Consumer

Description For Senior Machine Learning Engineer, Recommendations

Bumble Inc. is seeking a Senior Machine Learning Engineer to join their People Recommendations team. This role is crucial in developing the next generation recommendation platform for Bumble's suite of apps, including Bumble, Badoo, BFF, and Fruitz. The ideal candidate will have a strong background in machine learning, with experience in developing and deploying cutting-edge ML solutions at scale.

Key responsibilities include:

  • Developing innovative ML recommendation systems using technologies like GNNs and Deep Neural Networks
  • Conducting large-scale experiments to drive product development
  • Working with MLOps platforms to serve models globally
  • Deploying models and leading their continuous monitoring and improvement
  • Staying current with state-of-the-art research and creating prototypes
  • Collaborating with cross-functional teams

The role requires:

  • An advanced degree in Computer Science, Mathematics, or a related field
  • Hands-on experience with production ML models at scale
  • Proficiency in Python and ML frameworks like PyTorch or TensorFlow
  • Strong understanding of ML development lifecycle, including CI/CD, version control, and MLOps
  • Experience with Docker and containerized applications
  • Excellent communication skills and ability to work in a fast-paced environment
  • Passion for ML and a thoughtful approach to AI ethics

Join Bumble in revolutionizing how people find meaningful connections through innovative, cutting-edge AI solutions. This role offers the opportunity to shape the future of online relationships while working with a passionate team of ML professionals, software engineers, and data scientists.

Last updated a month ago

Responsibilities For Senior Machine Learning Engineer, Recommendations

  • Explore, develop and deliver new cutting-edge solutions for ML recommendations systems
  • Leverage technology like GNNs, Deep Neural Networks, etc. to create bespoke solutions for complex problems
  • Set up and conduct large-scale experiments to test hypotheses and drive product development
  • Working with MLOps platform directly to efficiently serve models at a global scale
  • 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
  • Work in a cross-functional team alongside data scientists, machine learning engineers, and both technical and non-technical stakeholders

Requirements For Senior Machine Learning Engineer, Recommendations

Python
  • Advanced degree in Computer Science, Mathematics or a similar quantitative discipline
  • Hands-on experience in delivering machine learning models to production at scale
  • Demonstrated ability to develop innovative technical solutions to complex problems
  • Experience in writing production-quality Python code
  • Comfortable working with classic ML frameworks, such as Pytorch or TensorFlow
  • Strong understanding of machine learning applications development life cycle processes and tools
  • Comfortable working with Docker and containerised applications
  • Strong communication skills
  • Ability to work collaboratively and proactively in a fast-paced environment
  • Genuine passion for Machine Learning and thoughtful approach to AI fairness, accountability, and transparency

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