# Sr. Staff Software Engineer, Product ML Infrastructure at Pinterest > United States · Staff · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Apinterest%3A8046860 (read 2026-11-04). ## Facts (observed) - Company: [Pinterest](https://alderhq.app/companies/pinterest) - Location text: Palo Alto, CA, US; San Francisco, CA, US; Palo Alto - Where it can be done from (inferred): United States (evidence: "Location: Palo Alto, CA, US; San Francisco, CA, US; Palo Alto") - Posted: 2026-09-30 (35 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://www.pinterestcareers.com/jobs/?gh_jid=8046860 - Skills listed (inferred): Python, Java, C++ ## Pay and sponsorship - Posted pay: $245k–$429k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 134): p25 $251k, median $279k, p75 $305k - H-1B filings at this company for similar roles, FY26: 84, median offered wage $181k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Recognised sponsor (NL): registered as "Pinterest Netherlands B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) - Licensed UK sponsor: registered as "Pinterest UK" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### About Pinterest Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. ### Sr. Staff Software Engineer, Product ML Infrastructure Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Pinterest’s Product ML Infrastructure (PMLI) 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. ### What you’ll do - Set the technical vision and roadmap for model training and serving across PMLI, with reusable interfaces to data and feature infrastructure. - Lead architectures for distributed training, fine-tuning, distillation, evaluation, and high-scale CPU/GPU inference. - 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. - 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 both large-scale training and online inference. - Strong GPU performance knowledge, such as 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. - 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, quality, and sensitive data. - Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Apinterest%3A8046860 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.