Pinterest
Pinterest
1 001 – 5 000 Қызметкерлер
H1B визасының демеушісіB2CМедиа
Pinterest — адамдар шабыт тауып, идеяларды сақтап, оларды қызығушылықтары, жобалары мен сатып алулары бойынша реттейтін визуалды іздеу платформасы. Оның қызметі үй дизайны, сән, рецепттер және іс-шаралар сияқты тақырыптарда жекелендірілген ұсыныстар мен визуалды іздеуді біріктіреді, сондай-ақ сауда құралдары мен жарнама арқылы авторлар мен бөлшек саудагерлерге аудиторияға жетуге көмектеседі.

Machine Learning Engineering Manager II, Content Foundation

Lead Pinterest’s machine learning engineering team building content-understanding systems for Discovery, Search, Growth, and Ads. Set technical direction for scalable LLM and VLM infrastructure while guiding cross-functional delivery.

Сипаттама

  • Build, mentor, and expand a team of engineers and applied scientists working on foundational content-understanding signals, infrastructure, and systems for Discovery, Search, Growth, and Ads.
  • Define the long-term technical strategy for semantic signal generation, reusable foundational layers, and scalable model-driven infrastructure.
  • Collaborate with product, data science, and downstream engineering teams to deliver impact across Pinterest.
  • Oversee project delivery and stakeholder communication through roadmap planning, technical decisions, risk management, and progress reporting.
  • Solve complex problems across VLM and LLM technologies, semantic content understanding, reusable captions and summaries, inference throughput, freshness, serving efficiency, downstream impact measurement, and large-scale monitoring, evaluation, and debugging.

Талаптар

  • At least 7 years of industry experience, including 2 or more years managing teams.
  • A master’s degree in computer science, computer engineering, or equivalent professional experience.
  • Publications at leading machine learning and data mining conferences such as NeurIPS, ICML, KDD, or SIGIR.
  • Experience training and serving LLM and VLM models with large-scale distributed systems.
  • Experience using distributed ML data-pipeline tools such as Hadoop and Spark.
  • Experience leading ambiguous machine learning initiatives to build, apply, and improve generative AI models for content understanding and recommendation systems.
  • Demonstrated technical leadership across machine learning and data systems.
  • Experience establishing direction for multi-quarter roadmaps covering modeling, data pipelines, and productionization.
  • Strong cross-functional communication and collaboration skills.

Артықшылықтар

  • Eligibility for equity compensation.
  • Flexibility in the working model.
  • In-person collaboration one to two times per quarter.
  • Equal-opportunity employment and support for medical or religious accommodations.

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