Jobs · Engineering

Distinguished Engineer

Pinterest · Seattle, WA · 3 wk ago
RemoteRemoteEngineering$280k–$577k/yrFull-time

About the role

Pinterest is a platform where millions of people come to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. We aim to bring everyone the inspiration to create a life they love, and we're seeking candidates who are passionate about transforming passion into growth opportunities and celebrating each other's unique experiences.

Responsibilities

  • 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 for unifying signals, features, and models across surfaces to deliver a coherent, high-quality discovery experience.
  • Lead the design and adoption of large-scale retrieval and ranking systems (e.g., multi-stage retrieval, representation learning, multi-objective optimization) that materially improve relevance and monetization.
  • Architect how Large Language Models (LLMs) and foundation models integrate with our core discovery stack (e.g., query understanding, intent modeling, content understanding, conversation orchestration, safety/guardrails).
  • Set technical direction for experimentation, measurement, and evaluation frameworks, including offline metrics, online experimentation, and causal inference for discovery and generative use cases.
  • Provide hands-on technical leadership on a small number of high-leverage projects: design critical components, review designs/PRs, de-risk complex launches, and mentor senior engineers and staff+TLs.
  • Partner deeply with Product, Data Science, Research, and Design to frame the right problems, translate product bets into robust technical plans, and ensure we are solving for long-term platform health, not just short-term metrics.
  • Raise the bar for engineering excellence: reliability, performance, security/privacy, cost efficiency, and operational health of large-scale ML systems.
  • Represent Pinterest externally for these domains (e.g., talks, publications, partnerships) and help attract and grow top talent.
  • Report into Pinterest’s Core Engineering leadership and work horizontally across multiple product and platform teams responsible for Homefeed, Search, and AI Assistant.
  • Spend a meaningful portion of your time on hands-on technical work (design, reviews, prototyping) while also driving long-term strategy, standards, and alignment across organizations.
  • Be measured on durable technical impact: system-level improvements, model and product outcomes, reduction in complexity and operational risk, and the growth of leaders and capabilities around you.

Requirements

  • 15+ years of industry experience in large-scale systems and/or machine learning, with a track record of impact in search, recommendations, feeds, or conversational AI.
  • Proven experience as a Distinguished Engineer, Architect, or equivalent senior technical leader driving cross-org technical strategy and execution.
  • Deep expertise in at least two of the following, and strong familiarity with the others:
    • Large-scale retrieval and ranking (e.g., learning-to-rank, multi-task and multi-objective optimization, bandits, RL for recommendations).
    • Representation learning (e.g., embeddings, multi-modal models, dense and sparse retrieval).
    • Search systems (indexing, query understanding, relevance tuning, latency/throughput optimization).
    • Large language models and generative AI (prompting, fine-tuning, RAG, agents, safety/guardrails, evaluation).
  • Demonstrated ability to define and drive multi-year architectural transformations at scale (e.g., re-architecting a core ranking stack, unifying feature platforms, evolving legacy systems to modern ML platforms).
  • Strong product intuition and experience partnering with PM/Design/Data Science on ambiguous, 0→1 and 1→N product bets.
  • Exceptional communication skills: able to crisply articulate strategy, tradeoffs, and technical direction to executives, peers, and broad engineering audiences.
  • Passion for mentoring and growing senior/staff engineers; history of building strong engineering cultures and communities of practice.
  • Qualifications

    • Bachelor’s degree in computer science, a related field or equivalent experience.

    Skills

    • None specified

    Benefits

    • None specified

    Pay

    • $280,148—$576,774 USD

    Schedule

    • Not specified

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