Sr. Staff Machine Learning Engineer, Content Quality

Навыки

• AI-инструменты в работе
• Big Data
• Отладка и поиск ошибок
• Flink
• Hadoop
• Kafka
• Лидерство

О компании и продукте

• 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 .

Задачи

• Architect and develop a roadmap and processes for building and delivering signals capturing quality and trust aspects of content at Pinterest
• Drive safety of GenAI and Conversational use cases including safety alignment and VLMs
• Work with downstream teams to align on use cases, evaluate signal impact, and drive adoption of signals in models, ranking systems, and decision-making workflows
• Partner closely with ML engineers to translate ideas into production-ready signals, from problem formulation and feature design to validation and deployment

Требования

• Experience driving technical strategy at an organizational level
• Expertise in content modeling at consumer internet scale
• Using GenAI for scaling ML development
• Strong ability to work cross-functionally and with partner engineering teams
• Experience working with multiple stakeholders
• Strong measurement and scalability experience
• Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience
• Strong ML knowledge and expertise
• Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus
• Machine Learning at scale deployment experience (note this is different from having ML theoretical knowledge, which is a nice to have)
• Thought Leadership: Publication and/or conference speaking experience is a plus
• Bachelor’s degree in a relevant field such as Computer Science or equivalent experience

Будет плюсом

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

Паспорт вакансии

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