Senior Manager, Machine Learning Engineering

Summary

Join Airbnb's AI Product team as a leader in developing and optimizing AI models for customer support. You will guide a team of applied scientists and machine learning engineers, strategize AI implementation, and ensure high-quality, scalable solutions. This role demands expertise in machine learning, LLMs, and leadership experience in managing large-scale ML projects. The position is US-remote eligible, with occasional office work. Compensation includes a competitive salary, bonus, equity, benefits, and employee travel credits.

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

• Bonus
• Equity
• Benefits
• Employee Travel Credits