Staff Machine Learning Engineer, Core Engineering

Who you are

You have a strong background in machine learning and data science, with at least 5 years of experience in building and deploying machine learning models. Your expertise in Python and libraries like TensorFlow and Keras allows you to create sophisticated algorithms that improve user interactions. You are comfortable working with large datasets and have experience in data mining and feature engineering, which enables you to extract valuable insights from user behavior.

You possess a solid understanding of cloud platforms, particularly AWS, and have utilized services like SageMaker for model training and deployment. Your familiarity with SQL allows you to efficiently query and manipulate data, ensuring that your models are built on high-quality datasets. You thrive in collaborative environments, working closely with cross-functional teams to translate business needs into technical solutions.

You are passionate about leveraging machine learning to create personalized experiences and have a keen interest in the latest advancements in the field. You understand the importance of low-latency predictions and are committed to optimizing model performance. You are also open to mentoring junior engineers, sharing your knowledge, and fostering a culture of learning within your team.

Desirable

Experience with recommendation systems or user behavior analysis is a plus, as is familiarity with natural language processing techniques. You may have contributed to open-source projects or published research papers in machine learning, showcasing your commitment to the field.

What you'll do

In this role, you will design and implement large-scale machine learning models that enhance user engagement on Pinterest. You will work on improving user ads action prediction, ensuring that our algorithms deliver relevant content with minimal latency. Your responsibilities will include developing new techniques for inferring user interests from both online and offline activities, utilizing a variety of data signals including text and visual inputs.

You will collaborate with product managers and engineers to define project requirements and deliver impactful solutions. Your role will involve mining data to identify trends and patterns that can inform product development and marketing strategies. You will also be responsible for conducting experiments to validate model performance and iterating on your designs based on feedback and results.

As a Staff Machine Learning Engineer, you will have the opportunity to lead projects and drive innovation within the Core Engineering organization. You will contribute to the development of state-of-the-art applied machine learning systems that power core Pinterest experiences, making a direct impact on millions of users worldwide.

What we offer

Pinterest offers a dynamic work environment where creativity and innovation are encouraged. You will have access to a wealth of data and resources to support your projects. The company values flexibility, allowing you to work remotely while still being part of a collaborative team. We provide competitive compensation and benefits, including opportunities for professional development and growth within the organization. Join us in our mission to inspire users and create a platform that helps them bring their ideas to life.