Senior Engineering Manager, adMarketplace

• We are seeking an accomplished AI/ML leader with a proven track record of building and scaling high-performing machine learning teams
• This is a hands-on leadership position that requires both deep technical expertise and exceptional people management skills
• A PhD or MS in Computer Science or a closely related field, ideally with an emphasis on machine learning
• 7+ years of industry experience with 5+ years of experience building machine learning models and deploying them in production
• 3+ years of demonstrated success building, leading, and growing high-performing teams in a fast-paced environment
• Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with a wide range of ML tools and frameworks, especially in cloud-based environments
• Deep understanding of GenAI tools and techniques. Proven ability to build GenAI products and leverage GenAI to improve the team’s productivity
• Demonstrated expertise in building and deploying ML models in one or more relevant domains, such as ads, relevance, ranking, recommendation systems, or search
• Proven ability to write production-level code and architect complex AI/ML systems

Desirable

• You'll lead a diverse AI/ML team to build scalable GenAI-powered ads and search solutions, shape strategy, mentor talent, and drive impact
• You will report directly to the SVP of Engineering & AI and play a pivotal role in shaping our machine learning strategy and guiding the development & deployment of innovative models that drive significant improvements to our ad serving platform and consumer-facing search products
• You'll recruit, develop, and retain top machine learning talent. Promote a collaborative and inclusive environment that encourages innovation and experimentation. Provide technical guidance and mentorship to team members, empowering them to reach their full potential
• Define and execute a comprehensive machine learning strategy aligned with our overall business goals. Stay ahead of industry trends and identify opportunities to leverage emerging technologies to gain a competitive advantage
• Oversee a portfolio of machine learning projects, ensuring alignment with strategic priorities, effective resource allocation, and timely delivery of high-quality solutions
• Build strong partnerships with product, business and other engineering teams to ensure seamless integration of AI/ML models into existing systems and workflows. Advocate for the value of machine learning across the organization
• Maintain a deep understanding of the technical landscape and ensure the team is using the latest tools, techniques, and best practices in machine learning. Actively participate in architecting solutions, providing hands-on technical guidance, and contributing code when necessary
• Represent the team in internal and external forums, sharing insights and best practices in machine learning. Contribute to the broader AI/ML community through publications, presentations, or open-source contributions