iOS Software Engineer, Airbnb - New Grad

About the Role

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</span></p></div><p>&nbsp;</p> <p><strong>The Community You Will Join:</strong></p> <p>The Quality Reputation team is dedicated to building exceptional customer-facing products that enhance trip quality and user reputation. We build systems that define and improve quality on Airbnb: collecting quality signals that elevate the best supply while protecting users through proactive intervention and enforcement. Our 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.</p> <p>&nbsp;</p> <p><strong>The Difference You Will Make:</strong></p> <p>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.</p> <p>

Key Responsibilities

• 1

  Develop and deploy ML models solving real-world product and business problems.

• 2

  Conduct exploratory data analysis and feature engineering on large datasets.

• 3

  Evaluate models using rigorous metrics, iterate based on offline and online experiments.

• 4

  Collaborate with product and engineering teams to integrate ML into production.

• 5

  Publish and present research findings internally and externally.

• 6

  Monitor model performance and retrain as data distributions shift.

Requirements

• Bachelor's/Master's/PhD in Statistics, Math, CS, or related field.
• Strong Python and ML library proficiency (scikit-learn, TensorFlow, PyTorch).
• Experience with large-scale data processing (Spark, BigQuery).
• Solid understanding of statistical modelling and A/B experimentation.
• Excellent communication skills with both technical and non-technical audiences.

Skills Required

How The Selection Process Works

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