Senior Manager - AI/ML Engineering

adMarketplace•New York, NY

10h•$250,000 - $275,000•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.