Hire(d) better.
Hire(d) better.
Hire(d) better.
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.
The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem.
ML at Tinder is organized into three groups with distinct roles:
Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation
Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management
Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale
We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact. This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment.
This is an individual contributor role focused on modeling and algorithmic innovation. You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production. The team’s work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale.
This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California.
Will AI replace this role?
Check AI displacement risk, transferable skills, and career alternatives for Machine Learning Engineer II
The Machine Learning Engineer II position at Matchgroup is based in Palo Alto, California. This is a hybrid position.
The Machine Learning Engineer II position at Matchgroup requires 1+ yrs exp.
Key skills for the Machine Learning Engineer II position at Matchgroup include: machine learning, python, java, kotlin, scala, aws, tensorflow, ci/cd, large language models.
