Director, Machine Learning Engineering – Growth

We are looking for a Director of Machine Learning to lead the Machine Learning function for the Growth organization. This leader will define the longterm ML vision strategy and operating model that powers user and engagement growth across Pinterests surfaces and entry points.

You will oversee multiple teams of machine learning engineers and managers responsible for core Growth problems such as activation retention notifications SEO paid acquisition and lifecycle personalization. Youll combine deep technical expertise with strong people leadership and product instincts to deliver industryleading methodologies in recommendation ranking experimentation deep learning and generative the Director Machine Learning for Growth youll own the health performance and evolution of our ML ecosystems across Growth. Youll ensure our technology can deliver on the business and product requirements necessary to keep Pinterest as an engaging inspiring platform for everyone. This means:

• Partnering with senior Product Data Science and Engineering leadership to set and execute a multiyear strategy for Pinterests Growth systems.
• Defining a unified ML architecture and roadmap for Growth that leverages shared platforms while allowing fast iteration.
• Building developing and retaining a worldclass team of machine learning leaders and engineers.
• Acting as a visible thought partner and spokesperson for Growth ML to executives and crossfunctional stakeholders.

Youll also foster a healthy inclusive community where ML practitioners across Growth can learn best practices collaborate effectively and understand our technical direction.

What youll do:

• Own the ML strategy for Growth
• Define and communicate a clear multiyear ML vision technical strategy and investment roadmap for the Growth organization.
• Identify and prioritize the most impactful Growth opportunities where ML can transform user acquisition activation engagement depth and retention.
• Establish success metrics and frameworks for measuring the impact and quality of Growth ML systems.
• Lead and grow highperforming ML teams
• Manage and develop managers and senior/principal ML engineers; grow and scale multiple ML teams supporting different Growth charters.
• Build an inclusive highaccountability culture focused on impact learning and technical excellence.
• Scale your leadership through orgwide best practices processes training and tools for ML development deployment and experimentation.
• Drive execution on critical Growth initiatives
• Champion and lead largescale crossfunctional initiatives that grow user visitation activation and engagement depth from ideation through execution.
• Ensure solid technical plans are in place for major Growth initiatives including architecture data strategy measurement and risk management.
• Partner closely with Product Engineering Data Science Marketing and Sales to align roadmaps and deliver cohesive endtoend Growth experiences.
• Shape our ML platforms and architecture
• Define a unified ML architecture for Growth in partnership with central platform teams that supports rapid experimentation and reliable scalable production systems.
• Guide investments in foundational capabilities (feature platforms training/serving infrastructure experimentation monitoring) that unlock leverage for all Growth teams.
• Ensure Growth ML systems follow best practices around reliability performance privacy and responsible AI.
• Influence across Pinterest
• Act as the primary ML point of contact for Growth with executive leadership and crossfunctional partners for a 125 member org (and growing).
• Represent Growth ML needs and priorities in companywide planning resource allocation and technical forums.
• Evangelize responsible and qualityfirst discovery surfaces that drive user visitations while upholding Pinterests values.

What were looking for:

• Deep expertise building and operating largescale ML systems in production using modern frameworks (e.g. deep learning recommendation/ranking systems reinforcement learning generative AI).
• Demonstrated success driving Growth or adjacent problem spaces (e.g. activation funnels notifications lifecycle marketing SEO paid acquisition or largescale consumer engagement).
• Proven track record of leading multiple ML teams or organizations including managing managers and setting strategy across a broad portfolio of projects.
• Experience defining and executing multiyear technical strategies and roadmaps and delivering large crossfunctional initiatives across multiple organizations.
• Strong product sense and ability to translate ambiguous business questions into wellstructured ML problems and experiments.
• Exceptional written and verbal communication skills with a proven ability to influence senior leaders and collaborate crossfunctionally.
• Commitment to building responsible usercentric ML systems with high quality fairness and safety standards.
• Degree in Computer Science Machine Learning Statistics or a related field or equivalent practical experience.
• 12 years of professional experience as a handson engineer and technical leader including 5 years in people leadership roles (managing managers and senior ICs).

InOffice Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for inperson collaboration 12 times every 6 months and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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Required Experience:

Director