.png)
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.
Our ML Infrastructure team builds the platforms, tooling, and services that power applied machine learning across Tinder. We provide the foundations for training, deploying, and monitoring large-scale ML systems that impact core experiences like Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization.
In this position, we are looking for a Senior Machine Learning Infra Engineer who can build foundational ML infra, including feature store and efficient serving platform (LLM serving). Just to give you a high level overview of the team, ML team at Tinder is organized into three groups with different roles:
In this role, you’ll partner closely with ML engineers, ML software engineers, and the CloudOps team to increase the ML organization’s overall velocity by building and evolving feature store infrastructure and enabling large-scale model serving. You’ll own projects end to end, working in tight alignment with ML teams to ensure infrastructure improvements are actually adopted and drive real impact. ML team at Tinder is driving significant business impact across domains and this infrastructure team is uniquely position to amplify that impact across the domains. For example, enabling more efficient and scalable model serving directly unlocks larger models across the domains, which can lead to consistent metric improvements across multiple product surfaces.
This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA
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 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.
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.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact employeebenefits@matchgroup.com.
We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. 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.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

