OUR MISSION

Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™”

ABOUT THE ROLE

As a Software Engineer focused on Machine Learning Trust & Safety, you’ll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. You’ll design, implement, and scale systems that influence millions of users worldwide. You will work on cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You’ll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder’s global scale and impact, you’ll be at the forefront of solving some of the most complex challenges in technology.

IN THIS ROLE, YOU WILL:

• 
  
  
  
• Work on modeling efforts of Tinder’s Trust and Safety experiences.

• Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc.
• Help the research and development of novel algorithms and models, staying at the forefront of advancements in ML technologies.
• Work with big data to improve the accuracy and relevance of models.
• Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives.