{"id":199009,"url":"https://alion.io/job/match-group-software-engineer-ii-ios","title":"Software Engineer II, iOS","company":{"id":4277,"name":"Match Group","domain":"mtch.com","url":"https://alion.io/company/match-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":0.818,"repost_share":0,"time_to_fill_p50_days":66,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Mobile","role_family":"Mobile","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"iOS SDK","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rest API","optional":false},{"name":"Swift Concurrency","optional":false},{"name":"Swift Testing","optional":false},{"name":"SwiftUI","optional":false},{"name":"XCTest","optional":false},{"name":"Bazel","optional":true},{"name":"CI/CD","optional":true},{"name":"Combine","optional":true},{"name":"Objective-C","optional":true},{"name":"Swift","optional":true},{"name":"UIKit","optional":true},{"name":"XCUITest","optional":true}],"status":"live","first_seen_at":"2026-09-03T19:34:28Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-22T21:00:14Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"The Team or Role\nRecs 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.\nAs 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.\nThe team is engineering-led and works closely with Recs ML and Infrastructure, Product, Data Science and Analytics, Design, QA, and engineering partners across Tinder.\nWhere you’ll work:\nThis is a hybrid role based in Palo Alto, California, and requires in-office collaboration three times per week.\nIn this role, you will:\nContribute to the architecture, design, and implementation of consumer-facing recommendation features in the Tinder iOS app.\n\nBuild polished, intuitive experiences that connect recommendation logic, APIs, experiments, analytics, and quality validation for millions of members worldwide.\n\nOwn well-scoped features and components from planning and implementation through testing, experiment launch, and validation, with increasing independence.\n\nCollaborate closely with iOS and backend engineers, Product, Design, Data Science and Analytics, QA, ML, Infrastructure, and partner teams across Tinder.\n\nWrite maintainable, well-tested Swift code and help protect app health, performance, reliability, and member experience.\n\nInvestigate bugs and quality issues using a structured approach, identify root causes, and add appropriate tests or monitoring to reduce regression risk.\n\nContribute to shared frameworks, technical improvements, code reviews, and engineering practices that make the team more effective.\n\nCommunicate progress, risks, dependencies, and technical tradeoffs clearly and proactively.\n\nDevelop expertise in Tinder’s iOS architecture and recommendation systems while progressing toward broader, end-to-end project ownership.\n\nUse AI-assisted development tools effectively and responsibly to improve prototyping, implementation, testing, delivery speed, and quality.\n\nYou'll need:\nApproximately 2+ years of professional experience building and shipping production, consumer-facing applications with native iOS technologies.\n\nProficiency in Swift and modern iOS development, including SwiftUI and Swift Concurrency.\n\nExperience using Xcode and the iOS SDK throughout the application-development lifecycle.\n\nExperience consuming REST APIs and integrating mobile features with backend services.\n\nExperience with Git and collaborative development workflows such as pull requests and code reviews.\n\nAbility to write testable, maintainable code using Swift Testing, XCTest, or similar tools.\n\nSolid debugging and code-quality fundamentals, including the ability to give and receive actionable code-review feedback.\n\nClear, solution-oriented communication and a willingness to learn and collaborate in a cross-functional environment.\n\nAn ownership mindset with the ability to deliver well-scoped work, surface risks, and follow through from implementation to launch validation.\n\nNice to have:\nExperience with UIKit, Objective-C, or Combine in an existing production codebase.\n\nFamiliarity with modular iOS architectures or dependency-injection approaches, including MDI, MDUI, Nodes, or Needle.\n\nExperience with Bazel, Swift Package Manager, XCUITest, CI/CD pipelines, or mobile monitoring tools.\n\nExperience with experimentation platforms, product analytics, design systems, or feature-flagged releases.\n\nExperience building recommendation, discovery, personalization, social, messaging, marketplace, or other feature-rich consumer experiences at scale.\n\nFamiliarity with AI-assisted development tools and responsible practices for validating generated or unfamiliar code and protecting sensitive information.\n\nA BS or MS in Computer Science, Engineering, or a related discipline is welcome but not required; 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