Staff Software Engineer, Machine Learning Trust & Safety

Tinder, a revolutionary dating app with over 630 million downloads and 97 billion matches, is seeking a Staff Software Engineer specializing in Machine Learning for their Trust & Safety team. This role is crucial in developing cutting-edge technologies in Generative AI, NLP, and Computer Vision to ensure platform safety and authenticity.

The position offers an unique opportunity to work at a global scale while making significant daily impact. As part of the Trust and Safety ML team, you'll be responsible for developing machine learning algorithms and systems to protect Tinder's millions of users worldwide. The role involves working with state-of-the-art technologies and solving complex challenges in user safety and platform integrity.

The ideal candidate will have extensive experience in machine learning, preferably with a PhD or MS in a relevant field, and proven expertise in the Trust & Safety domain. You'll lead modeling efforts, mentor team members, and collaborate across functions to integrate ML solutions that enhance user safety and experience.

Working in a hybrid environment in Palo Alto, you'll join a company that values diversity, continuous learning, and innovative problem-solving. The compensation package reflects the role's importance, with a competitive salary range of $245,000 - $310,000, adjusted based on experience and location.

This is an exceptional opportunity for a seasoned ML engineer to make a meaningful impact on user safety while working with cutting-edge technology at a company that prioritizes both innovation and user well-being. The role combines technical leadership with the chance to shape the future of online safety for millions of users globally.