[Remote] Staff Machine Learning Engineer, Relevance and Personalization

Note: The job is a remote job and is open to candidates in USA. Airbnb is a global platform that connects hosts and guests, and they are seeking a Staff Machine Learning Engineer for their Relevance and Personalization team. This role involves developing end-to-end ranking algorithms and optimizing business objectives through advanced AI technologies and collaboration with cross-functional teams.

Responsibilities
• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
• Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.

Skills
• 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
• Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. 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 (eg. Hive)
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning 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
• Bonus
• Equity
• Benefits
• Employee Travel Credits

Company Overview
• Airbnb is an online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.airbnb.com.

Company H1B Sponsorship
• Airbnb has a track record of offering H1B sponsorships, with 108 in 2025, 176 in 2024, 160 in 2023, 270 in 2022, 250 in 2021, 274 in 2020. Please note that this does not guarantee sponsorship for this specific role.