Join Airbnb’s Relevance and Personalization team, where you’ll have a unique opportunity to shape the discovery experience for over 150M global users!
Take the lead on projects that power search and recommendations across the entire Airbnb platform.
Design and deploy state-of-the-art ranking algorithms, deploying robust systems that optimize Airbnb’s most important business goals.
Our team pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, real-time serving, and large-scale experimentation.
Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists.

Requirements

12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields.
Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).
Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).
Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML models.
Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningartificial intelligenceprogrammingdata engineeringfeature engineeringneural networksdeep learningoptimizationnatural language processingcomputer vision

Soft Skills

collaborationleadershipcommunication

Certifications

MSPhD