4 hours ago
Base Salary
$285k - $450k/yr
Responsibilities
- Set the technical vision and roadmap for model training and serving with reusable data and feature infrastructure interfaces.
- Lead architectures for distributed training, fine-tuning, distillation, evaluation, and high-scale CPU/GPU inference.
- Lead architectures for content acquisition, media ingestion, and media signal processing.
- Improve efficiency across data loading, distributed execution, GPU kernels and memory, compilation, quantization, scheduling, and capacity.
- Build reliable and observable platforms with strong quality guarantees and training/serving consistency.
- Partner with Ads and Core AI/ML teams to safely productionize features and models at Pinterest scale.
- Drive cross-organizational architecture decisions, migrations, and operational standards while mentoring senior engineers.
- Partner with Content, Shopping catalog, and GenAI teams to improve Pinterest’s content ecosystem.
- Use AI-assisted development and analysis for prototyping, performance diagnosis, and validation while maintaining correctness and data safeguards.
Requirements
- Demonstrated track record of setting technical strategy and delivering company-wide infrastructure initiatives in ambiguous environments.
- Deep expertise in distributed ML systems, including production experience with large-scale training and online inference.
- Strong GPU performance knowledge, including profiling, distributed execution, kernel and memory optimization, compilation, or quantization.
- Experience with AI/ML modeling, recommender systems, Ads ranking, retrieval, feature platforms, or similarly demanding ML workloads.
- Experience with content acquisition such as crawlers, content understanding, or near-real-time data processing.
- Experience with search and recommendation systems or ad-serving systems.
- Strong systems programming and design skills in C++, Java, or Python.
- High ownership and sound judgment regarding reliability, security, cost, and operational excellence.
- Ability to use AI to improve speed while critically evaluating AI-assisted work and maintaining accountability for correctness, quality, and sensitive data.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Benefits
- The role is remote with required in-person collaboration 1–2 times per quarter within commuting distance of the Palo Alto or San Francisco office.
- The position is not eligible for relocation assistance.
- The position is eligible for equity.
- Pinterest provides an inclusive workplace and considers accommodation requests during the hiring process.
Categories
About Pinterest
Pinterest builds a visual discovery and bookmarking platform where people search, save, and shop ideas across home, fashion, food, and more. The company monetizes primarily through advertising and shopping integrations, using visual search and recommendation systems to connect users and merchants. Founded in 2010 and headquartered in San Francisco, Pinterest is a public company on the NYSE (PINS) with around 482 million monthly users worldwide.