Senior Manager, Machine Learning Engineering-Community Support Engineering

Summary

Join Airbnb's AI Product team as a leader, mentoring a team of applied scientists and machine learning engineers. Develop and refine the AI strategy for community support products, focusing on scalability and quality. Drive rapid development cycles, collaborating with engineers to build robust ML models. Make data-driven decisions and uphold technical standards. The ideal candidate possesses deep knowledge of ML/AI methodologies, including LLMs, and has extensive experience leading teams in developing large-scale ML models for online user experiences. This US-remote eligible position requires a PhD or Master's degree in a related field, 10+ years of experience in building AI models and products (including 2+ years with LLMs), and 5+ years managing machine learning teams.

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

Responsibilities

• 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

Benefits

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