Senior Machine Learning Engineer, Recommendation System

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.

 

We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

• Member Safety: Our top priority is to build an authentic, equitable, and respectful community

• Diversity: We strive to build a workplace that reflects the rich diversity of our members

• Authenticity + Collaboration: We encourage authenticity to nurture a trustworthy, collaborative environment

• Big Ideas: We champion and rally behind big ideas, empowering people to to think and act differently and to be unafraid of having a strong point of view

• Innovation: We never stand still; we’re inspired to build for what’s next, and we must constantly innovate, experiment, and learn

The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous.

Recommendations ML team is responsible for the development of machine learning models and systems for recommendation applications. Recommendation algorithms directly control who can be matched together in Tinder, and optimize the whole ecosystem. You'll have a unique opportunity to join a company with a global footprint while working on a team that’s small enough for you to feel the impact each day.

The salary range for this position is $170,000 - $210,000.  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei