Manager, Machine Learning Engineering - Community Support Engineering
Description: • 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. • The Community Support Platform (CSP) at Airbnb is a critical system that drives our customer support operations. • CSP empowers Airbnb's global network of Community Support ambassadors, utilizing cutting-edge technology to deliver exceptional customer service with high efficiency. • As part of the CSP vision, we are harnessing AI to revolutionize Airbnb’s approach to customer service. Requirements: • Expertise in ML & AI: Deep knowledge of various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products. • Leadership in ML Development: Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences. • Management and Mentorship: Strong leadership skills with a track record of nurturing an innovative and collaborative team environment. • Communication Excellence: Exceptional verbal and written communication abilities, with a keen eye for detail. • Collaborative Spirit: Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally. • Problem Solving: Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches. • Educational Background: PhD, or Master's degree in Computer Science, Mathematics, Statistics, or related technical field. • Industry Experience: 10+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs. • Leadership Experience: 5+ years managing machine learning teams that deliver large impact. • Technical Proficiency: Expert knowledge of machine learning algorithms and techniques. • Customer Support Systems: Experience with AI technologies in customer support applications. • Advanced LLM Expertise: Experience with LLM alignment techniques (SFT, RLHF, DPO, etc.) and LLM evaluation. • Infrastructure Acumen: Background in working with ML infrastructures and complex system designs. • Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes. Benefits: • Relocation assistance may be provided, if applicable. • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. • Benefits include health insurance, PTO, and retirement plans. Apply tot his job Apply To this Job