Sr. Staff Machine Learning Engineer, Agentic Ads

San Francisco, California, USA · Staff+ · full-time

Sponsorship not specified$228k-$469kDetected 37 days ago

PythonC++Machine LearningDeep LearningStatisticsA/B TestingResearchLeadershipCollaborationMentoring

About the role

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.
You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Lead the technical strategy for advancing ads ranking and bidding models using large scale ML and agentic development loops.
Design, build and launch production models and signals that improve ads quality, relevance and long term value.
Build and refine training, evaluation and feedback pipelines that continuously learn from online behavior, experimentation results and advertiser outcomes.
Own the technical strategy for advancing ads ranking models, with a focus on AI/agentic development loops and automation.
Build and refine agentic training and evaluation pipelines that continuously learn from feedback signals, offline and production behavior.
Partner closely with product, applied science, and infra teams to translate business objectives into modeling roadmaps and success metrics.
Drive technical design reviews, set modeling best practices, and make high-impact architectural decisions across the ads ML stack.
Lead frontier work applying AI- and agentic-driven development loops to one of Pinterest's highest-leverage systems: ads ranking and auctions.
Partner with senior leaders across product, research, and infra, gaining broad visibility and influence on ads strategy.
Lead frontier work applying AI- and agentic-driven development loops to one of

Demonstrated ability to use AI to improve speed and quality in your day to day workflow for modeling, experimentation and analysis.
Bachelor's/Master's degree in a relevant field such as computer science or statistics, or equivalent experience.

In an effort to provide greater transparency, we are sharing the base salary range for this position.

The position is also eligible for equity.
Information regarding the culture at Pinterest and benefits available for this position can be found here.

Ads ranking and auctions.
Staff MLE role, the right candidate will define the technical strategy for next-generation ranking systems, applying AI- and agentic-driven development loops to accelerate modeling innovation, experimentation, and automation at massive scale.
They'll partner closely with senior leaders across product, applied science, and infrastructure to shape outcomes that directly impact advertiser performance, Pinner experience, and company revenue, while also setting modeling standards, influencing architecture across the ads ML stack, and mentoring top-tier technical talent.
For someone excited by deep technical ownership, broad organizational influence, and the chance to build ambitious systems using rich multimodal data and a modern ML platform, this is an exceptionally high-impact leadership opportunity.

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
If you require a medical or religious accommodation during the job

This listing is sourced directly from Pinterest's careers page and normalized into a canonical job model.