Airbnb Senior Manager Machine Learning Engineering 

United States 

826512818

• Lead and Mentor: Guide a dynamic team of highly skilled applied scientists and machine learning engineers in the research, design and optimization of AI models and services.
• Strategize and Innovate: Develop and refine the overarching strategy for the ML and AI aspects of our community support products, focusing on scalability, quality, safety, performance, and reliability.
• Drive Excellence : Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives.
• Make Data-Driven Decisions: Evaluate technical trade-offs in key decisions, ensuring optimal outcomes through data-backed strategies.
• Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence.

• 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.

Offices: United States