Pinterest

About Pinterest

Discover and save creative ideas visually

🏢 Tech👥 1001+ employees📅 Founded 2010📍 SoMa, San Francisco, CA3.8
B2BLifestyleSocialDigital MediaSocial MediaAdvertising

Key Highlights

  • 450 million monthly active users as of 2022
  • Public company (NYSE: PINS) with a valuation of $15 billion
  • Headquartered in SoMa, San Francisco, CA
  • Raised over $1.5 billion in funding since inception

Pinterest, headquartered in San Francisco, CA, is a visual discovery platform that allows users to save and share creative ideas through digital pinboards. With over 450 million monthly active users as of 2022, Pinterest has become a go-to platform for inspiration, particularly in lifestyle and DIY ...

🎁 Benefits

Pinterest offers competitive salaries, equity options, generous PTO policies, and flexible remote work arrangements. Employees also benefit from welln...

🌟 Culture

Pinterest fosters a culture of creativity and inspiration, encouraging employees to explore new ideas and approaches. The company values visual discov...

Overview

Pinterest is hiring a Machine Learning Engineer to build personalized experiences using advanced machine learning techniques. You'll collaborate with various teams to improve ML models across different product surfaces. This role requires expertise in machine learning and data-driven methodologies.

Job Description

Who you are

You have a strong background in machine learning and data analysis, with experience in building and deploying models that enhance user experiences. You are familiar with the latest advances in deep learning and understand how to leverage data to drive insights and improvements. You thrive in collaborative environments, working closely with cross-functional teams to experiment and iterate on machine learning models. You are passionate about keeping up with industry trends in recommendation systems and are eager to apply your knowledge to real-world challenges.

Desirable

Experience with large-scale recommendation systems is a plus, as is familiarity with data-driven methodologies that enhance model performance. You are comfortable working in a fast-paced environment and can adapt quickly to changing priorities. A background in software engineering or a related field would be beneficial, as it complements your machine learning expertise.

What you'll do

As a Machine Learning Engineer at Pinterest, you will be responsible for building cutting-edge technology that personalizes the user experience on the platform. You will partner with various teams across Pinterest to experiment with and improve machine learning models for different product surfaces, including Homefeed, Ads, Growth, Shopping, and Search. Your work will involve using data-driven methods to enhance candidate retrieval and optimize model performance. You will engage in quick experimentation and product launches, contributing to a high-impact environment where your insights can lead to significant improvements.

You will also have the opportunity to work with a vast amount of data, gaining hands-on experience that is unique to Pinterest. Your contributions will help shape the future of how users interact with the platform, making their experiences more personalized and engaging. You will be encouraged to keep up with industry trends and bring innovative ideas to the table, ensuring that Pinterest remains at the forefront of machine learning applications in the tech space.

What we offer

Pinterest offers a dynamic work environment where creativity and innovation are celebrated. You will have access to a wealth of data and resources that will enable you to grow your skills and make a real impact on the platform. The company values flexibility, allowing you to do your best work in a way that suits your lifestyle. Additionally, you will be part of a collaborative team that is dedicated to building a product that inspires millions of users around the world. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products.

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