iOS Software Engineer, Airbnb - New Grad

Airbnb•San Francisco, WA

14h•Hybrid

About The Position

The Quality Reputation team at Airbnb is dedicated to building exceptional customer-facing products that enhance trip quality and user reputation. They build systems that define and improve quality on Airbnb by collecting quality signals that elevate the best supply while protecting users through proactive intervention and enforcement. Their mission is to build delightful user products and intelligent capabilities that raise the supply quality on the Airbnb platform. The team is highly collaborative with its partners in design, product, data science, legal, and marketing to deliver features and experiences used by millions of people. As a Software Engineer (New Grad) at Airbnb, you’ll play a vital role in building, supporting, and refining the products and systems that make Airbnb’s mission possible. Your work will directly contribute to high-quality, reliable experiences for our global community—whether you’re fixing bugs, launching well-defined features, or enhancing existing components. You'll also have the opportunity to contribute to AI-powered features, applying foundational knowledge of machine learning concepts and modern AI tools to build smarter, more personalized experiences for our hosts and guests. By clearly communicating challenges and collaborating with teammates across functions, you’ll help drive projects forward with transparency and trust. You’ll foster a sense of belonging by actively seeking feedback, sharing your own learnings, and supporting the onboarding of new team members. You’ll help uphold Airbnb’s commitment to excellence by following best practices, delivering tasks autonomously, and continually improving your technical skills. Your curiosity, empathy, and commitment to candid communication will empower you to make a meaningful impact—on projects, teammates, and Airbnb’s inclusive culture.

Requirements

Recent graduates (Bachelor's or Master's) with less than 1 year of full-time professional experience.
Strong foundation in Computer Science fundamentals — data structures, algorithms, design patterns, and systems thinking.
Proficiency in Swift, with exposure to SwiftUI or UIKit for building iOS applications.
Foundational understanding of iOS development concepts — including networking, caching, client storage, accessibility, and asynchronous programming.
Familiarity with REST APIs.

Nice To Haves

Exposure to GraphQL.
Leadership experience.
Community involvement.
Teaching/mentoring experience.

Responsibilities

Building, supporting, and refining the products and systems that make Airbnb’s mission possible.
Directly contributing to high-quality, reliable experiences for our global community by fixing bugs, launching well-defined features, or enhancing existing components.
Contributing to AI-powered features, applying foundational knowledge of machine learning concepts and modern AI tools to build smarter, more personalized experiences for our hosts and guests.
Clearly communicating challenges and collaborating with teammates across functions to drive projects forward with transparency and trust.
Fostering a sense of belonging by actively seeking feedback, sharing learnings, and supporting the onboarding of new team members.
Upholding Airbnb’s commitment to excellence by following best practices, delivering tasks autonomously, and continually improving technical skills.
Attending team syncs to discuss priorities, share progress, and surface any blockers with transparency.
Diving into coding — fixing bugs, developing iOS features, or refining UI components —while applying best practices for code quality, error handling, and testability.
Leveraging AI-assisted development tools (e.g., Claude Code or similar) to accelerate workflow and improve code quality.
Participating in design or code reviews, asking clarifying questions, and applying feedback to improve work.
Working closely with cross-functional partners like product managers and designers to ensure tasks align clearly with broader goals.
Dedicating time to expanding technical knowledge through documentation, mentorship, or internal knowledge-sharing sessions.
Staying current on iOS platform developments or AI/ML topics relevant to the team's domain.
Seeking guidance from managers or tech leads when tackling unfamiliar problems.
Contributing to team activities, such as onboarding new hires (e.g., being an onboarding buddy), sharing observations from the hiring process, or joining in cultural events focused on diversity, inclusion, and innovation.
Sharing updates on progress and next steps, highlighting challenges or learnings.