Principal Engineer, AI Platform

Pinterest·San Francisco, CA, US; Remote, USRemotesenior

In short

→Arquitecto principal de plataforma de IA que impulsa sistemas de recomendación y generación de contenido a escala mundial.
→Diseña infraestructura para entrenamiento, fine-tuning y inferencia de modelos de IA a petabytes de datos y cientos de millones de inferencias por segundo.
→Destaca por liderar iniciativas estratégicas de IA a nivel de empresa con impacto en toda la organización.

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What they ask for

✓Experiencia comprobada en infraestructura de IA/ML y sistemas distribuidos a gran escala.
✓Capacidad para liderar iniciativas transversales y definir estrategia técnica a nivel corporativo.
✓Habilidades avanzadas en C++, Java o Rust para sistemas de producción.
✓Experiencia en sistemas de recomendación y/o generación de IA (multimodal, inferencia, evaluación).
✓Capacidad de influir en decisiones arquitectónicas con equipos y ejecutivos.
✓Título de Licenciatura en Ciencias de la Computación o campo relacionado.

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C++JavaRustGenerative AIRecommender SystemsFeature StoresModel TrainingFine-tuningBatch InferenceOnline Inference

Who should you write to at Pinterest?

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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 . Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. As a Principal Engineer on the AI Platform team, you'll help architect the infrastructure that powers both Generative AI and Recommender Systems across Pinterest's entire product suite. Our team builds the end-to-end engines for petabyte-scale data orchestration, model training and fine-tuning, and high-performance inference, ensuring our models scale seamlessly to hundreds of millions of inferences per second in service of over 600 million monthly active users. What you’ll do: • Set the technical vision and roadmap for the Pinterest AI Platform, aligning with business priorities and long-term company strategy. • Drive cross-functional strategic initiatives that advance our platform capabilities across: • Generative AI: multimodal data management, post-training, evaluation, and batch/online inference. • Recommender Systems: feature stores, training infra, and large-scale high performance inference. • AI-powered tools that automate the user experience across our platforms, connecting every stage of the AI/ML lifecycle to enhance productivity and accelerate development. • Cultivate a collaborative and inclusive culture where every team member feels welcome and empowered, and provide candid, constructive feedback that accelerates individual and team growth. What we’re looking for: • Deep expertise in AI/ML infrastructure and distributed systems: Hands-on experience designing, building, and operating highly available, production-grade systems at large scale; strong technical judgment; and proficiency in at least one of C++, Java, or Rust. • Proven track record of company-wide impact: Experience leading cross-organizational initiatives, navigating ambiguity, defining technical strategy, influencing architecture decisions, and aligning cross-functional partners and executives around a shared direction. • Strong ownership and a high engineering bar: Sets and upholds high standards for engineering quality, integrity, and accountability, and takes end-to-end ownership of outcomes. • Bachelor's degree in Computer Science or a related field

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