Machine Learning Engineer, Computer Vision

Dating platform focused on creating healthy and equitable relationships
Machine Learning
Senior Software Engineer
Hybrid
AI

Description For Machine Learning Engineer, Computer Vision

Bumble, a leading dating platform, is seeking a Machine Learning Engineer specializing in Computer Vision to join their Trust & Safety team. This role is crucial in fulfilling Bumble's mission to create healthy and equitable relationships worldwide. The position offers an exciting opportunity to work with millions of images and messages exchanged daily on the platform, making a real impact on how people find love globally.

The ideal candidate will be responsible for developing and implementing cutting-edge computer vision algorithms, focusing on applications like image classification, facial recognition, and synthetic image generation. Working in a cross-functional environment, you'll collaborate with data scientists, engineers, and product teams to deliver scalable AI solutions.

The role requires an advanced degree in Computer Science or related field, with deep expertise in computer vision and machine learning. You'll be working with state-of-the-art technologies and have the opportunity to contribute to research while solving real-world problems. The position offers a unique blend of technical challenges and business impact, with the chance to work on large-scale deployments using modern tools like Kubernetes.

Bumble emphasizes diversity and inclusion, welcoming applications from all backgrounds. The hybrid work environment in London provides flexibility while maintaining collaborative opportunities. This role is perfect for someone who combines technical excellence with business acumen and has a passion for staying current with ML advancements.

Last updated 13 days ago

Responsibilities For Machine Learning Engineer, Computer Vision

  • Work in cross-functional teams with data scientists, ML engineers, and product teams
  • Develop cutting-edge technologies for computer vision/ML applications
  • Participate in computer vision research
  • Conduct large-scale experiments for product development
  • Implement state-of-the-art machine learning models
  • Partner with business functions to frame problems into scalable AI solutions
  • Keep up with research and create prototypes

Requirements For Machine Learning Engineer, Computer Vision

Kubernetes
  • Advanced degree in Computer Science, Mathematics or similar quantitative discipline
  • Proven experience in ML with Computer Vision focus
  • Experience in designing and developing ML models for large-scale deployments
  • Experience in deploying ML applications on container orchestrators
  • Experience in training and benchmarking dataset creation
  • Understanding of software development life cycle processes
  • Strong statistical modeling background
  • Ability to work collaboratively in fast-paced environment
  • Business intuition with advanced solutions application

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