Machine Learning Engineer, Recommendations

Bumble Inc. is the parent company of Bumble, Badoo, Fruitz and Official, focusing on building healthy and equitable relationships through kind connections.
Machine Learning
Hybrid
AI
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Description For Machine Learning Engineer, Recommendations

Bumble Inc. is seeking a Machine Learning Engineer to join their People Recommendations team. The role involves building the next generation recommendation platform for Bumble Inc.'s apps, including Bumble, Badoo, BFF, and Fruitz. The ideal candidate will have strong product sense, extensive experience in machine learning applications, and a passion for creating impactful technology.

Key responsibilities include:

  • Exploring, developing, and delivering cutting-edge solutions for ML recommendations systems
  • Leveraging technologies like GNNs and Deep Neural Networks
  • Conducting large-scale experiments to drive product development
  • Working with MLOps platform to serve models at a global scale
  • Deploying models and leading their continuous monitoring & improvement
  • Keeping up 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 similar quantitative discipline
  • Hands-on experience in delivering machine learning models to production at scale
  • Strong Python coding skills and experience with ML frameworks like PyTorch or TensorFlow
  • Understanding of ML development lifecycle processes and tools
  • Experience with Docker and containerized applications
  • Strong communication skills and ability to work in a fast-paced environment
  • Passion for Machine Learning and thoughtful approach to AI fairness, accountability, and transparency

Join Bumble Inc. to revolutionize how people find meaningful connections and shape the future of online relationships through innovative AI solutions.

Last updated 2 months ago

Responsibilities For 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 Machine Learning Engineer, Recommendations

Python
  • Advanced degree in Computer Science, Mathematics or 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 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
  • Passion for Machine Learning and thoughtful approach to AI fairness, accountability, and transparency

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