{"id":1563523,"url":"https://alion.io/job/pinterest-sr-staff-software-engineer-product-ml-infrastructure","title":"Sr. Staff Software Engineer, Product ML Infrastructure","company":{"id":75,"name":"Pinterest","domain":"pinterest.com","url":"https://alion.io/company/pinterest","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":29,"ghost_share":0,"stale_share":0.724,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":245402,"max":429454,"currency":"USD","period":"year","gross":null,"usd_annual":429454},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Ignite","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Model Distillation","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Recommender Systems","optional":false},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-09-30T19:41:55Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-21T04:38:33Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"About Pinterest:\nMillions 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.\nDiscover 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.\nAt 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.\nThrough 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.\nSr. Staff Software Engineer, Product ML Infrastructure\nMillions 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.\nAt 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.\nPinterest’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.\nWhat you’ll do:\nSet the technical vision and roadmap for model training and serving across PMLI, with reusable interfaces to data and feature infrastructure.\nLead architectures for distributed training, fine-tuning, distillation, evaluation, and high-scale CPU/GPU inference.\nImprove efficiency across data loading, distributed execution, GPU kernels and memory, compilation, quantization, scheduling, and capacity.\nBuild reliable, observable platforms with strong quality guarantees and training/serving consistency.\nPartner with Ads and Core AI/ML teams to productionize features and models safely at Pinterest scale.\nDrive cross-organizational architecture decisions, migrations, and operational standards; mentor senior engineers and raise the engineering bar.\nUse AI-assisted development and analysis to accelerate prototyping, performance diagnosis, and validation while maintaining rigorous correctness and data safeguards.\nWhat we’re looking for:\nA track record of setting technical strategy and delivering company-wide infrastructure initiatives in ambiguous environments.\nDeep expertise in distributed ML systems, including production experience with both large-scale training and online inference.\nStrong GPU performance knowledge, such as profiling, distributed execution, kernel and memory optimization, compilation, or quantization.\nExperience with AI/ML modeling, recommender systems, Ads ranking, retrieval, feature platforms, or similarly demanding ML workloads.\nStrong systems programming and design skills in C++, Java, or Python.\nHigh ownership and sound judgment in reliability, security, cost, and operational excellence.\nDemonstrated ability to use AI to improve speed and critically evaluate AI-assisted work, with accountability for correctness, quality, and sensitive data.\nBachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.\nRelocation Statement:\nThis position is not eligible for relocation assistance. Visit ourPinFlex page to learn more about our working model.\nIn-Office Requirement Statement:\nWe recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.\nThis role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be within a commutable distance of our Palo Alto, CA or San Francisco, CA office.\nAt Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.\nInformation regarding the culture at Pinterest and benefits available for this position can be found here.\nUS based applicants only\n$245,402—$429,454 USD\nOur Commitment to Inclusion:\nPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.\nBy submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. 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