Machine Learning Engineer - AI Discovery

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
5+ years of experience
This job posting may no longer be active. You may be interested in these related jobs instead:
Senior Software Engineer, Machine Learning, Payments

Senior ML Engineering role at Google focusing on applying machine learning and GenAI to payment systems, requiring 5+ years of software development experience and strong ML expertise.

AI ADK Software Engineer

Senior AI software engineering role at Qualcomm focusing on automotive AI development, neural network optimization, and quantization for embedded systems.

Senior AI Engineer

Senior AI Engineer role at Conduit, building production-grade agentic AI systems for housing and hospitality automation.

Research Engineer, Language - Monetization AI

Research Engineer position at Meta focusing on Language AI and Monetization, combining advanced ML research with practical applications in advertising technology.

Senior Software Engineer, AI

Senior AI Engineer role at Ironclad building ML models and services for contract management platform using cutting-edge NLP and deep learning technologies.

Description For Machine Learning Engineer - AI Discovery

Join our team at Bumble, where we're revolutionizing online dating through innovative AI-driven experiences. We're seeking machine learning engineers to spearhead the development of next-generation online dating. In this role, you will be a foundational member of a small, dynamic team dedicated to creating cutting-edge solutions that redefine how people connect and form relationships online.

The ideal candidate thrives in a fast-paced environment, is a creative thinker, and has a proven track record in Generative AI and Machine Learning. If you're passionate about leveraging AI to shape the future of online connections, we want to hear from you!

What you'll be doing:

  • Work in a small, dynamic team that values agility, creativity, and autonomy
  • Contribute to the technical development of new (generative) AI-powered features in our apps
  • Collaborate cross-functionally with teams across the business to identify user needs and design AI and Machine Learning solutions
  • Collaborate with the MLOps team to optimize AI and Machine Learning solutions for performance and scalability
  • Mentor and coach team members on ML engineering best practices
  • Stay up to date with the latest developments in AI to drive innovation

We'd love to meet someone with:

  • An 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
  • Comfortable working with modern LLM deployment frameworks and libraries
  • Strong understanding of machine learning applications development life cycle processes and tools
  • Comfortable working with Docker and containerised applications
  • Experienced at deploying highload ML applications on container orchestrators
  • Understanding of GPU-powered workloads, NVIDIA drivers, container runtimes
  • Strong communication skills and ability to work collaboratively in a fast-paced environment
  • A genuine passion for AI and Machine Learning, with a thoughtful approach to AI fairness, accountability, and transparency

Bumble Inc. is an equal opportunity employer and strongly encourages applications from people of all backgrounds, including underrepresented groups. We're happy to make reasonable adjustments to help you feel confident throughout the application process.

Last updated 9 months ago

Responsibilities For Machine Learning Engineer - AI Discovery

  • Develop new AI-powered features for dating apps
  • Collaborate with cross-functional teams to identify user needs
  • Design AI and Machine Learning solutions
  • Optimize AI solutions for performance and scalability
  • Mentor team members on ML engineering best practices
  • Stay updated with latest AI developments

Requirements For Machine Learning Engineer - AI Discovery

Python
Kubernetes
  • Advanced degree in Computer Science, Mathematics or similar quantitative discipline
  • Experience delivering machine learning models to production at scale
  • Ability to develop innovative technical solutions
  • Proficiency in production-quality Python code
  • Experience with ML frameworks like Pytorch or TensorFlow
  • Knowledge of modern LLM deployment frameworks and libraries
  • Understanding of ML application development lifecycle
  • Experience with Docker and containerized applications
  • Experience deploying highload ML applications on container orchestrators
  • Understanding of GPU-powered workloads
  • Strong communication skills
  • Passion for AI and Machine Learning

Benefits For Machine Learning Engineer - AI Discovery

  • Equal opportunity employer
  • Inclusive work environment
  • Reasonable adjustments for candidates

Interested in this job?