Software Engineer II, iOS
The Team or Role
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 iOS 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 iOS experiences, analytics, and quality validation. You’ll grow your iOS 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.
Where you’ll work:
This is a hybrid role based in Palo Alto, California, and requires in-office collaboration three times per week.
In this role, you will:
Contribute to the architecture, design, and implementation of consumer-facing recommendation features in the Tinder iOS 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 iOS and backend engineers, Product, Design, Data Science and Analytics, QA, ML, Infrastructure, and partner teams across Tinder.
Write maintainable, well-tested Swift code and help protect app health, performance, reliability, and member experience.
Investigate bugs and quality issues using a structured approach, identify root causes, and add appropriate tests or monitoring to reduce regression risk.
Contribute to shared frameworks, 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 iOS architecture and recommendation systems while progressing toward broader, end-to-end project ownership.
Use AI-assisted development tools effectively and responsibly to improve prototyping, implementation, testing, delivery speed, and quality.
You'll need:
Approximately 2+ years of professional experience building and shipping production, consumer-facing applications with native iOS technologies.
Proficiency in Swift and modern iOS development, including SwiftUI and Swift Concurrency.
Experience using Xcode and the iOS SDK throughout the application-development lifecycle.
Experience consuming REST APIs and integrating mobile features with backend services.
Experience with Git and collaborative development workflows such as pull requests and code reviews.
Ability to write testable, maintainable code using Swift Testing, XCTest, or similar tools.
Solid debugging and code-quality fundamentals, including the ability to give and receive actionable code-review feedback.
Clear, solution-oriented communication and a willingness to learn and collaborate in a cross-functional environment.
An ownership mindset with the ability to deliver well-scoped work, surface risks, and follow through from implementation to launch validation.
Nice to have:
Experience with UIKit, Objective-C, or Combine in an existing production codebase.
Familiarity with modular iOS architectures or dependency-injection approaches, including MDI, MDUI, Nodes, or Needle.
Experience with Bazel, Swift Package Manager, XCUITest, CI/CD pipelines, or mobile monitoring tools.
Experience with experimentation platforms, product analytics, design systems, or feature-flagged releases.
Experience building recommendation, discovery, personalization, social, messaging, marketplace, or other feature-rich consumer experiences at scale.
Familiarity with AI-assisted development tools and responsible practices for validating generated or unfamiliar code and protecting sensitive information.
A BS or MS in Computer Science, Engineering, or a related discipline is welcome but not required; demonstrated proficiency in modern iOS technologies and principles matters most.