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Pinterest

Principal Engineer, Core – Pinner Journeys

Pinterest

Principal Engineer defining Pinterest’s retrieval, ranking, and generative AI architecture. Leading foundational discovery systems across Homefeed, Search, and AI Assistant.

Posted 8/19/2026full-timeSan Francisco • California, Washington • 🇺🇸 United StatesLead💰 $242,634 - $449,541 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in large-scale retrieval and ranking systems, large language models, and generative AI, while driving architectural transformations and fostering engineering excellence. Proven ability to lead cross-functional teams and mentor senior engineers to achieve impactful product outcomes.

Highest-signal resume keywords
Large-Scale Systems ExperienceMachine Learning ExpertisePrincipal Engineer LeadershipArchitectural TransformationExceptional Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Large-Scale RetrievalRanking SystemsRepresentation LearningSearch SystemsLarge Language ModelsGenerative AITechnical Strategy DefinitionSystem DesignCausal InferenceExperimentation Measurement
Soft Skills
MentoringCommunicationProduct IntuitionCollaboration
Certifications & Qualifications
Bachelor’s Degree in Computer Science
Industry Keywords
SearchRecommendationsFeedsConversational AIConsumer Discovery ProductsAI AssistantsAgentic Workflows

About the role

Key responsibilities & impact
  • Define the long-term technical strategy and architecture for Homefeed, Search, and AI Assistant, including retrieval, ranking, personalization, and generative experiences
  • Drive a multi-year roadmap unifying signals, features, and models across surfaces
  • Lead large-scale retrieval and ranking system design and adoption
  • Architect LLM and foundation-model integration with the discovery stack
  • Set technical direction for experimentation, measurement, evaluation, offline metrics, online experimentation, and causal inference
  • Provide hands-on technical leadership on high-leverage projects, including component design, design and PR reviews, prototyping, launch risk reduction, and mentoring
  • Partner with Product, Data Science, Research, and Design on technical plans and long-term platform health
  • Raise engineering excellence in reliability, performance, security/privacy, cost efficiency, and operational health
  • Represent Pinterest externally through talks, publications, and partnerships; attract and grow talent
  • Report to Core Engineering leadership and work across Homefeed, Search, and AI Assistant teams
  • Drive long-term strategy, standards, and organizational alignment
  • Deliver durable technical impact through system improvements, model/product outcomes, reduced complexity and operational risk, and leadership growth

Requirements

What you’ll need
  • 15+ years of industry experience in large-scale systems and/or machine learning
  • Track record of impact in search, recommendations, feeds, or conversational AI
  • Experience as a Principal Engineer, Architect, or equivalent senior technical leader
  • Deep expertise in at least two of: large-scale retrieval and ranking; representation learning; search systems; large language models and generative AI
  • Experience defining and driving multi-year architectural transformations at scale
  • Strong product intuition and experience partnering with PM, Design, and Data Science on ambiguous 0→1 and 1→N product bets
  • Exceptional communication skills
  • Experience mentoring and growing senior/staff engineers and building engineering cultures
  • Bachelor’s degree in computer science, a related field or equivalent experience
  • Nice to have: consumer discovery products at global scale
  • Nice to have: AI assistants or agentic workflows in consumer experiences
  • US-based applicants only

Benefits

Comp & perks
  • Equity eligibility
  • Flexible working model through PinFlex
  • In-office collaboration 1–2 times per quarter for some teams, allowing work anywhere in the country
  • Equal opportunity and accommodation support during the application process