Machine Learning Engineer, Computer Vision
Description For Machine Learning Engineer, Computer Vision
Bumble is seeking a Machine Learning Engineer specializing in Computer Vision to join their Trust & Safety team. This role is crucial in developing and implementing state-of-the-art computer vision systems that enhance platform safety and user experience. With millions of daily interactions, the position offers a unique opportunity to impact how people connect worldwide.
The role combines cutting-edge ML research with practical applications, focusing on computer vision tasks like image classification, facial recognition, and synthetic image generation. You'll work in a dynamic environment alongside data scientists, engineers, and product teams to develop scalable AI solutions that address real business challenges.
The ideal candidate should possess an advanced degree in a quantitative field, with deep expertise in computer vision and machine learning. Experience with large-scale deployments, container orchestration, and MLOps is essential. The position offers competitive compensation ($135,000-$188,000) and comprehensive benefits including medical, dental, vision, and 401(k) matching.
Bumble emphasizes diversity and inclusion, welcoming applications from all backgrounds. This role presents an exceptional opportunity to work on meaningful problems at scale while contributing to Bumble's mission of creating healthy and equitable relationships worldwide.
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 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 create scalable AI solutions
- Keep up with research and create prototypes
Requirements For Machine Learning Engineer, Computer Vision
- 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 (K8s, Kubeflow)
- Experience in training and benchmarking dataset creation
- Understanding of software development life cycle processes and tools
- Strong statistical modeling background
- Ability to work collaboratively in fast-paced environment
- Business intuition with advanced technical solutions
Benefits For Machine Learning Engineer, Computer Vision
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401(k) match
- Unlimited Paid Time Off
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