Software Engineer II, Android

Our Mission

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.

• Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
• Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
• Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
• Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
• Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us.
• Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.

Recs Experience turns Tinder’s recommendation systems into flexible, reliable, and easy-to-use product capabilities that power better experiences across the app. We simplify the complexity of recommendations so teams can build with them confidently, while helping members find more relevant connections faster through clearer, more personalized, and more responsive experiences.

As a Software Engineer II on Android within Recs Experience, you’ll help build the experiences that shape who Tinder members see, how recommendations appear, and how profiles turn into matches and conversations. You’ll partner closely with backend engineers to deliver features end to end—connecting recommendation logic, APIs, and experiments to polished Android experiences, analytics, and quality validation. You’ll grow your Android and recommendations-domain expertise while helping a collaborative, full-stack team improve discovery for millions of members worldwide.

The team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder.

This is a hybrid role based in Palo Alto, California, and requires in-office collaboration three times per week.

• Contribute to the architecture, design, and implementation of consumer-facing recommendation features in the Tinder Android app.

• Build polished, intuitive experiences that connect recommendation logic, APIs, experiments, analytics, and quality validation for millions of members worldwide.

• Own well-scoped features and components from planning and implementation through testing, experiment launch, and validation, with increasing independence.

• Collaborate closely with Android and backend engineers, Product, Design, Data Science and Analytics, QA, ML, Infrastructure, and partner teams across Tinder.

• Write maintainable, well-tested Kotlin code and help protect app health, performance, reliability, and member experience.

• Build modern Android interfaces with Jetpack Compose while working effectively with existing View-based or legacy code where needed.

• Investigate bugs, ANRs, performance regressions, and other quality issues using a structured approach; identify root causes and add appropriate tests or monitoring.

• Contribute to modular Android architecture, shared libraries, technical improvements, code reviews, and engineering practices that make the team more effective.

• Communicate progress, risks, dependencies, and technical tradeoffs clearly and proactively.

• Develop expertise in Tinder’s Android architecture, card-stack and recommendation systems, and progress toward broader…