Principal Software Engineer, ML & Media Infra
Pinterest · Palo Alto, CA; US; San Francisco, CA, US
About this role
**About Pinterest** Millions of people around the world come to Pinterest to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, our mission is to bring everyone the inspiration to create a life they love—starting with the people behind the product. At Pinterest, AI isn’t just a feature—it’s a powerful partner that augments creativity and amplifies impact. The interview process focuses on how you think and how you explain your approach, including how you collaborate with AI. --- **Team: ML & Media Infrastructure** The ML & Media Infrastructure team enables fast, safe, and efficient delivery of AI/ML solutions across Ads and Core critical products. We build unified data, training, feature, and inference infrastructure. This role will set technical direction across model training and serving, with a focus on **GPU efficiency** and **large-scale ranking systems**. The team also owns critical platforms for **content acquisition**, **media ingestion**, and **media signal processing**—including near real-time adoption of **LLM/VLM** to understand content and build fundamental signals for GenAI innovations, while meeting **GenAI compliance** requirements. --- **What you’ll do** - Set the technical vision and roadmap for **model training and serving**, with reusable interfaces to data and feature infrastructure. - Lead architectures for **distributed training**, **fine-tuning**, **distillation**, **evaluation**, and high-scale **CPU/GPU inference**. - Lead architectures for **content acquisition**, **media ingestion**, and **signal processing**. - Improve efficiency across **data loading**, **distributed execution**, **GPU kernels and memory**, **compilation**, **quantization**, **scheduling**, and **capacity**. - Build reliable, observable platforms with strong quality guarantees and training/serving consistency. - Partner with Ads and Core AI/ML teams to productionize features and models safely at Pinterest scale. - Drive cross-organizational architecture decisions, migrations, and operational standards; mentor senior engineers and raise the engineering bar. - Partner closely with Content, Shopping catalog, and GenAI teams to improve the Pinterest content ecosystem. - Use AI-assisted development and analysis to accelerate prototyping, performance diagnosis, and validation—while maintaining rigorous correctness and data safeguards. --- **What we’re looking for** - A 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 (profiling, distributed execution, kernel/memory optimization, compilation, or quantization). - Experience with AI/ML modeling and demanding workloads such as **recommender systems**, **Ads ranking**, **retrieval**, **feature platforms**, etc. - Experience with **content acquisition** (e.g., crawler, content understanding, NRT data processing). - Experience with **search and recommendation** and/or **ads serving** systems. - Strong systems programming and design skills in **C++**, **Java**, or **Python**. - High ownership and sound judgment in reliability, security, cost, and operational excellence. - Demonstrated ability to use AI to improve speed and critically evaluate AI-assisted work, with accountability for correctness
Listing freshness
CronJobs last confirmed this listing 1h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.