FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Principal Engineer, Core – Pinner Journeys
PinterestPrincipal 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 fitCore 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
Tailor your resumeApplicant 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