Manager - AI/ML Engineering

The Role

We are seeking an accomplished AI/ML leader with a proven track record of building and scaling high-performing machine learning teams. As a Manager in our established AI/ML and Search organization, you will play a pivotal role in shaping our machine learning strategy, guiding the development and deployment of innovative models that drive significant improvements in our ad serving platform and consumer-facing search products. This is a hands-on leadership position that requires both deep technical expertise and exceptional people management skills.

Responsibilities:

• 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.
• 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.
• 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 management, engineering, data science, and other stakeholders to ensure seamless integration of AI/ML models into existing systems and workflows. Advocate for the value of machine learning across the organization.
• Set clear performance expectations, provide regular feedback, and conduct performance reviews for team members. Identify and address performance gaps to ensure continued growth and development of the team.
• 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 (30-40% of the time).
• Lead by example in code quality and establish rigorous code review processes to ensure high standards of maintainability, scalability, and performance. Mentor team members on best practices and promote a culture of continuous improvement.
• 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.

Basic Qualifications:

• A PhD or MS in a quantitative field (e.g., Computer Science, Statistics, Mathematics) with 10+ years of experience in AI/ML, including 5+ years of demonstrated success leading and managing technical teams in a fast-paced environment.
• Proven ability to build and lead high-performing teams, inspire innovation, and drive results. Strong communication and interpersonal skills, with the ability to influence and build consensus across diverse stakeholders.
• Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with a wide range of ML tools and frameworks, as well as cloud-based infrastructure.
• Demonstrated expertise in building and deploying ML models in one or more relevant domains, such as ads, relevance, ranking, recommendation systems, or search.
• Understanding of the business implications of AI/ML technologies and the ability to translate technical solutions into tangible business value.
• Proven ability to write production-level code and architect complex AI/ML systems.

Preferred Qualifications:

• Track record of presenting at industry conferences, publishing research papers, or contributing to open-source AI/ML projects.
• Experience starting or leading new AI/ML initiatives within an organization, demonstrating the ability to identify and capitalize on opportunities.
• Passion for developing and mentoring others, with a track record of helping individuals grow their technical and leadership skills.

*Compensation Range: $210,000 - $240,000 

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