As a Machine Learning Engineer at Pinterest, you will tackle challenges in machine learning and artificial intelligence while contributing to large-scale recommendation systems. You will work with a variety of data-driven models and collaborate with engineering teams to enhance user experiences. This role offers the opportunity to engage in cutting-edge research and apply innovative solutions to real-world problems. You will also have the chance to work independently on complex issues while being part of a dynamic and inclusive team.

• Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required.
• Machine Learning experience in ranking, computer vision, NLP, content recommendations, embedding, and information retrieval.
• Experience with big data technologies such as Hadoop or Spark and scalable real-time systems.
• Mastery of at least one systems language like Java, C++, or Python, or one ML framework such as TensorFlow or PyTorch.
• Proficiency with AI-native engineering and the design of agent-friendly codebases.
• Strong critical thinking skills when working with AI-generated suggestions.
• Experience in research and solving analytical problems.
• Strong communication skills and ability to work as a team player.

• Contribute to cutting-edge research in machine learning and artificial intelligence applicable to Pinterest problems.
• Collect, analyze, and synthesize findings from data to build intelligent data-driven models.
• Write clean, efficient, and sustainable code.
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems.
• Design, build, and test models to predict engagement for notifications.
• Build content recommendation systems to power push, email, and in-app notifications.
• Work on state-of-the-art large-scale applied machine learning projects.
• Scope and independently solve moderately complex problems.