Tech Stack

Description

You will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors.

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: 9+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs.
• Leadership Experience: 2+ years managing machine learning teams that deliver large impact.
• Technical Proficiency: Expert knowledge of machine learning algorithms and techniques.
• Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes.

Responsibilities

• Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development.
• Proactively take initiatives to drive for outcomes over the scope of the team.
• Build relationships and drive alignment with stakeholders within Community Support and across external teams.
• Communicate difficult or complex concepts and decisions clearly and effectively with multiple stakeholders across various functions.
• Provides critical guidance and input in prioritization over multiple major projects.
• 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.
• Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence.