Manager II, Machine Learning Engineering-Content Foundation

7 hours, 59 minutes ago
Full-time
Lead
Software Development
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010

Description

  • Lead, mentor, and grow engineers and applied scientists building foundational content-understanding signals, infrastructure, and systems.
  • Set the long-term technical vision for semantic signal generation, reusable foundation layers, and model-powered infrastructure.
  • Partner with product, data science, and engineering teams to drive adoption and impact of content signals across Pinterest.
  • Manage roadmaps, project execution, technical decisions, stakeholder communication, risks, and progress reporting.
  • Guide solutions for large-scale LLM and VLM content understanding across multiple locales with strong precision, recall, and coverage.
  • Build reusable captions, summaries, and semantic descriptors that support downstream use cases efficiently and cost-effectively.
  • Improve inference throughput, freshness, serving efficiency, monitoring, evaluation, and debugging at scale.
  • Measure and improve the impact of content signals on relevance, personalization, engagement, and advertising performance.

Requirements

  • 7+ years of industry experience, including 2+ years of management experience.
  • Master’s degree in computer science, computer engineering, or equivalent work experience.
  • Publications at leading machine learning or data mining conferences such as NeurIPS, ICML, KDD, or SIGIR.
  • Experience with large-scale distributed training and inference of LLM and VLM models.
  • Experience with distributed ML data-pipeline tools such as Hadoop and Spark.
  • Experience leading ambiguous ML projects involving GenAI models for content understanding and recommendation systems.
  • Technical leadership across ML and data systems, including multi-quarter roadmaps spanning modeling, data pipelines, and productionization.
  • Strong cross-functional communication and collaboration skills with product, data science, and ML partner teams.

Benefits

  • Base salary range of $222,716–$389,753 USD for US-based applicants.
  • Eligible for equity.
  • Flexible remote-oriented work model with in-office collaboration 1–2 times per quarter.
  • Role can be based anywhere in the USA.
  • No relocation assistance is provided.
  • Inclusive workplace and equal-opportunity employment commitment.

Interested in this position?

Apply directly on the company website

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