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Jobs / Pinterest

Staff Machine Learning Engineer

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

In short

  • →Ingeniero de ML de alto nivel en Pinterest Labs, enfocado en sistemas generativos de recomendación y aprendizaje por refuerzo.
  • →Diseñas soluciones de IA de 0 a 1 a escala, colaboras con producto e ingeniería, y lideras estrategia de investigación aplicada.
  • →Destacado por el impacto directo de tu trabajo en descubrimiento de contenido, crecimiento y anuncios a nivel global.

Proficiency in English required for collaboration and documentation.

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The questions they'll ask you

1. ¿Cómo diseñarías un sistema GenRec que equilibre creatividad y relevancia en búsquedas de usuarios?

2. Describe un caso donde aplicaste RL para mejorar un sistema de recomendación a escala.

3. ¿Cómo evaluarías el impacto de un nuevo modelo LLM en el descubrimiento de contenido?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓MS/PhD en Ciencias de la Computación o experiencia equivalente en industria
  • ✓Mínimo 6 años de experiencia en industria con enfoque en ML
  • ✓Experiencia sólida en sistemas de recomendación y aprendizaje por refuerzo
  • ✓Capacidad para liderar proyectos de investigación aplicada de 0 a 1
  • ✓Habilidades de colaboración con producto, ingeniería y ciencia de datos
  • ✓Experiencia con LLMs, VLMs o sistemas generativos de recomendación

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Generative Recommendation SystReinforcement LearningLLMsVLMsMachine Learning ResearchProduction DeploymentApplied ScienceCross-team CollaborationResearch StrategyAI/ML Systems

Who should you write to at Pinterest?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 . About Pinterest 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. You’ll grow as a person and leader in your field, all the while helping users make their lives better in the positive corner of the internet. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. Staff Machine Learning Engineer, Applied Science As part of Pinterest Labs , you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers. In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions. You will conduct research that directly applies across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research in the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning. What you’ll do: • Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search. • Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale. Identify timelines and obtain resources needed. • Identify new and upcoming research opportunities by interacting with external and internal collaborators. Own long-term research strategy and plans to expand the impact of Applied Science. • Act as a technical leader in the applied AI space. p artner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact. What we’re looking for: • MS/PhD in Computer Science, or equivalent industry experience • Minimum 6 years of relevant industry experience • Hands-on experience with l

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