Staff Machine Learning Engineer - Applied Science

Pinterest Labs is seeking a Staff Machine Learning Engineer to join their world-class team of research scientists and machine learning engineers. This role focuses on tackling new challenges in machine learning and artificial intelligence, conducting applied research across various domains including computer vision, graph neural networks, NLP, inclusive AI, reinforcement learning, user modeling, and recommender systems. The position offers the opportunity to work on cutting-edge research that directly impacts Pinterest's engineering teams while engaging in external collaborations and mentoring.

The ideal candidate will contribute to Pinterest's mission of helping millions of users find inspiration and create lives they love. Working under the PinFlex model, which offers a progressive and flexible approach to work, you'll be part of a team that values both innovation and practical application of machine learning solutions. The role involves building intelligent data-driven models, implementing efficient code, and solving complex problems across growth, discovery, ads, and search domains.

This position requires strong technical expertise in machine learning and software engineering, combined with excellent research and analytical capabilities. You'll need to demonstrate mastery of programming languages and ML frameworks, while being comfortable with ambiguous problems in a dynamic environment. The role offers a competitive compensation package and the opportunity to work with state-of-the-art technology while making a significant impact on Pinterest's AI initiatives.

Pinterest is committed to fostering an equitable and inclusive workplace, making employment decisions based on merit and considering qualified applicants regardless of background. The position offers the flexibility of remote work while maintaining meaningful collaboration opportunities, reflecting Pinterest's modern approach to workplace culture.