Manager - AI/ML Engineering

Who We Are

At adMarketplace, our mission is to deliver the most engaging consumer search experiences while empowering advertisers to measure media performance accurately. Today, millions of people worldwide engage with our exclusive, transparent media placements across the internet’s leading browsers, shopping apps, and review sites.

Our award-winning culture is built around five core values (known as our 5C’s): Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. With these guiding values, adMarketplace seeks to empower our team to reach their full potential through continued learning, and the opportunity to do their best work.

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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Join Us

adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!

We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow. 

At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.   

We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers a dog friendly office, Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance. 

No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. 

*This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.