Airbnb Senior Staff Machine Learning Scientist 

United States 

40911834

A Typical Day:

• Work with large scale structured and unstructured data; explore, experiment, build and continuously improve Machine Learning models and pipelines for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including product managers, operations and data scientists, to identify opportunities for business impact; understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
• 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.

Your Expertise:

• Educational Background: PhD in Computer Science, Mathematics, Statistics, or related technical field.
• Industry Experience: 10+ years of experience in building, testing and shipping AI models and products from inception to production; including 2+ years of experience with GenAI.
• Leadership Experience: 5+ years experience leading and guiding applied science/ machine learning teams that deliver large impact as a senior IC.
• Technical Proficiency: Deep knowledge and hands-on experience with 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. NLP, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)
• Customer Support Systems: Experience with AI technologies in customer support applications.
• Agile Practice for AI Production: Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain.
• Infrastructure Acumen: Experience building robust testing frameworks for agent behavior validation and continuous improvement, and driving architectural requirements on ML infrastructures
• Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes.

Offices: United States