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Home›Jobs›Pinterest›Staff Software Engineer, Capacity Engineering
Pinterest

About Pinterest

Discover and save creative ideas visually

🏢 Tech👥 1001+ employees📅 Founded 2010📍 SoMa, San Francisco, CA⭐ 3.8
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...

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Pinterest

Staff Software Engineer, Capacity Engineering

Pinterest • San Francisco, CA, US; Remote, US

Posted 4w ago🏠 RemoteSeniorStaff engineer📍 San francisco
Apply Now →

Skills & Technologies

Machine learningCloudInfrastructure engineering

Overview

Pinterest is seeking a Staff Software Engineer in Capacity Engineering to manage and optimize their ML infrastructure. You'll work on improving efficiency and collaborating with various engineering teams. This role requires a strong background in ML infrastructure.

Job Description

Who you are

You have a strong background in managing and optimizing machine learning infrastructure — your experience includes working with large-scale cloud-native systems and ensuring their efficiency. You understand the importance of collaboration and have successfully partnered with various engineering teams to deliver resilient and secure tech foundations. You are passionate about leveraging your skills to drive innovation and efficiency in a fast-paced environment. You thrive in roles that require strategic thinking and have a proven track record of improving infrastructure performance. You are comfortable with complex problem-solving and enjoy tackling challenges that come with managing large-scale systems. You believe in the power of data and technology to inspire creativity and drive growth.

What you'll do

In this role, you will manage the ML hardware capacity that powers the models running at Pinterest — your focus will be on improving the efficiency of the ML infrastructure. You will build, develop, and mature profiling and optimization capabilities for ML infrastructure at Pinterest scale. Collaboration is key, and you will work closely with the ML Platform, Infrastructure Engineering, and Site Reliability Engineering teams to ensure the delivery of highly available, resilient, secure, and efficient ML foundations for Pinterest’s tech stack. You will have direct visibility across Pinterest Engineering and with company leadership, making your contributions highly impactful. Your work will directly influence the strategic priorities of Pinterest, as efficiency remains a core focus for the company. You will also be involved in identifying opportunities for optimization and implementing solutions that enhance the overall performance of the infrastructure.

What we offer

Pinterest offers a dynamic work environment where innovation is encouraged and celebrated. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to making a difference. The company values flexibility, allowing you to do your best work in a way that suits you. You will be part of a mission-driven organization that aims to inspire creativity and help users create a life they love. Additionally, Pinterest provides competitive compensation and benefits, fostering a culture of growth and development for all employees.

Interested in this role?

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