Sr. Staff Machine Learning Engineer, Agentic Ads

Pinterest Pinterest · Consumer · Seattle, WA · Monetization

Sr. Staff Machine Learning Engineer role focused on defining the technical strategy for next-generation ads ranking and bidding models using large scale ML and agentic development loops. The role involves designing, building, and launching production models and signals, refining training and evaluation pipelines, and using AI to accelerate analysis and iteration. It requires leadership in technical strategy, cross-functional partnership, and mentoring, with a focus on improving ads quality, relevance, and long-term value.

What you'd actually do

  1. Lead the technical strategy for advancing ads ranking and bidding models using large scale ML and agentic development loops.
  2. Design, build and launch production models and signals that improve ads quality, relevance and long term value.
  3. Build and refine training, evaluation and feedback pipelines that continuously learn from online behavior, experimentation results and advertiser outcomes.
  4. Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.
  5. Own the technical strategy for advancing ads ranking models, with a focus on AI/agentic development loops and automation.

Skills

Required

  • applied machine learning
  • large scale ranking or ads systems
  • modern recommendation and ranking techniques
  • gradient boosted trees
  • deep learning based ranking models
  • building and operating ML systems at scale
  • Python
  • C++
  • modern data and experimentation platforms
  • using AI to improve speed and quality in modeling, experimentation and analysis
  • leading cross functional initiatives
  • influencing senior partners across product, engineering and research

Nice to have

  • multimodal data
  • modern ML platform

What the JD emphasized

  • define the technical strategy
  • agentic-driven development loops
  • accelerate modeling innovation, experimentation, and automation
  • partner closely with senior leaders
  • deep technical ownership
  • broad organizational influence
  • build ambitious systems
  • rich multimodal data
  • modern ML platform
  • Minimum of 8 years of experience in applied machine learning including large scale ranking or ads systems.
  • Deep expertise in modern recommendation and ranking techniques
  • Experience building and operating ML systems at scale
  • Demonstrated ability to use AI to improve speed and quality in your day to day workflow
  • Experience leading cross functional initiatives and influencing senior partners

Other signals

  • agentic development loops
  • ads ranking and auctions
  • massive scale
  • multimodal data
  • modern ML platform