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Software Engineer, Airbnb - New Grad at Airbnb · San…
Entry LevelHybridFull-timeSan Francisco, Seattle$128k–$142k/yr
Skills
computer science fundamentalsdata structuresalgorithmsdesign patternssystems thinkingjavascalarubyruby on railsc++sqlhtml/cssjavascriptobjective-cswiftkotlinai/ml conceptssupervised learningmodel evaluationlarge language model apispythonnumpyscikit-learnpytorchcloud-based ai servicesresponsible ai principlescuriosityempathy
Job Description
Summary: Airbnb is a global company that connects hosts and guests for unique stays and experiences. As a Software Engineer (New Grad), you will play a vital role in building and refining products, contributing to high-quality experiences, and collaborating with teams to enhance AI-powered features.
Responsibilities:
- Attend team syncs to discuss priorities, share progress, and surface any blockers with transparency
- Dive into coding—fixing bugs, developing features, or refining APIs and components—while applying best practices for code quality, error handling, and testability
- Leverage AI-assisted development tools (e.g., Claude Code or similar) to accelerate your workflow and improve code quality
- Participate in design or code reviews, ask clarifying questions, and apply feedback to improve your work
- Work closely with cross-functional partners like product managers and designers to ensure your tasks align clearly with broader goals
- Dedicate time to expanding your technical knowledge through documentation, mentorship, or internal knowledge-sharing sessions
- This includes staying current on AI/ML developments relevant to your team's domain — whether that's recommendation systems, natural language understanding, or AI safety practices
- Seek guidance from managers or tech leads when tackling unfamiliar problems
- Contribute 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
- Share updates on your progress and next steps, highlighting challenges or learnings
Required Qualifications:
- Bachelor's or Master's degree 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 one or more of: Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, JavaScript, Objective-C, Swift (iOS), or Kotlin (Android)
- Foundational awareness of AI/ML concepts — such as supervised learning, model evaluation, or working with APIs backed by large language models (LLMs) — gained through coursework, personal projects, or internships
- An understanding of responsible AI principles — including fairness, privacy, and safety — and a curiosity about how these apply to real-world product development
Preferred Qualifications:
- Familiarity with Python and common AI/ML libraries (e.g., NumPy, scikit-learn, or PyTorch)
- Experience integrating cloud-based AI services or LLM APIs
- Bonus points for leadership experience, community involvement, or teaching/mentoring
Required Skills: Computer Science fundamentals, Data structures, Algorithms, Design patterns, Systems thinking, Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, JavaScript, Objective-C, Swift, Kotlin, AI/ML concepts, Supervised learning, Model evaluation, Large language model APIs, Python, NumPy, scikit-learn, PyTorch, Cloud-based AI services, Responsible AI principles, Curiosity, Empathy
Benefits: Bonus, Equity, Benefits, Employee Travel Credits
Benefits
Bonus
Equity
Benefits
Employee Travel Credits