Pinterest4 days ago
Principal Engineer, Core - Pinner Journeys
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
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San Francisco
Responsibilities
- 01Define the long-term technical strategy and architecture for Homefeed, Search, and AI Assistant, including retrieval, ranking, personalization, and generative experiences
- 02Drive a multi‑year roadmap for unifying signals, features, and models across surfaces to deliver a coherent, high-quality discovery experience
- 03Lead 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
- 04Architect how LLMs and foundation models integrate with our core discovery stack (e.g., query understanding, intent modeling, content understanding, conversation orchestration, safety/guardrails)
- 05Set technical direction for experimentation, measurement, and evaluation frameworks, including offline metrics, online experimentation, and causal inference for discovery and generative use cases
- 06Provide 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
- 07Partner 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
- 08Raise the bar for engineering excellence: reliability, performance, security/privacy, cost efficiency, and operational health of large-scale ML systems
- 09Represent Pinterest externally for these domains (e.g., talks, publications, partnerships) and help attract and grow top talent
Requirements
- 0115+ 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
- 02Proven experience as a Principal Engineer, Architect, or equivalent senior technical leader driving cross‑org technical strategy and execution
- 03Deep 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)
- 04Deep expertise in at least two of the following, and strong familiarity with the others: Representation learning (e.g., embeddings, multi-modal models, dense and sparse retrieval)
- 05Deep expertise in at least two of the following, and strong familiarity with the others: Search systems (indexing, query understanding, relevance tuning, latency/throughput optimization)
- 06Deep expertise in at least two of the following, and strong familiarity with the others: Large language models and generative AI (prompting, fine-tuning, RAG, agents, safety/guardrails, evaluation)
- 07Demonstrated 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)
- 08Strong product intuition and experience partnering with PM/Design/Data Science on ambiguous, 0→1 and 1→N product bets
- 09Exceptional communication skills: able to crisply articulate strategy, tradeoffs, and technical direction to executives, peers, and broad engineering audiences
- 10Passion for mentoring and growing senior/staff engineers; history of building strong engineering cultures and communities of practice
- 11Bachelor’s degree in computer science, a related field or equivalent experience
What we offer
- 01Relocation Statement: This position is not eligible for relocation assistance
- 02Visit our PinFlex page to learn more about our working model
- 03In-Office Requirement Statement