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 Senior Staff Machine Learning Engineer to lead cross-team engineering efforts for ML-driven product experiences. You'll work on large-scale applied machine learning projects and improve data processing pipelines. This role requires expertise in machine learning and Python.

Job Description

Who you are

You have 5+ years of experience in machine learning and data science, with a strong background in building and deploying machine learning models at scale. Your expertise in Python and familiarity with frameworks like TensorFlow enable you to create efficient and reliable ML solutions. You understand the intricacies of data processing and have experience optimizing ML inference pipelines to enhance performance and user experience.

You are a collaborative team player who enjoys working with cross-functional teams to drive engineering efforts. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an effective leader in your projects. You are passionate about improving user experiences through innovative machine learning applications and are excited to contribute to a product that inspires millions.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with large-scale data processing frameworks. You have a keen interest in the latest advancements in machine learning and are eager to apply them to real-world challenges. Your background in software engineering principles helps you design robust and scalable systems.

What you'll do

In this role, you will lead the Homefeed Relevance team at Pinterest, focusing on enhancing the user experience for over 400 million monthly users. You will work on state-of-the-art large-scale applied machine learning projects, driving the development of innovative product experiences that engage and inspire Pinners. Your responsibilities will include improving the efficiency and reliability of our data processing and ML inference pipelines, ensuring that our systems are optimized for low latency and high capacity.

You will collaborate closely with product managers, data scientists, and other engineers to define project goals and deliver impactful solutions. Your role will involve designing and implementing machine learning models that improve the relevance of content presented to users, ultimately driving engagement and satisfaction on the platform. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and innovation within the team.

What we offer

Pinterest offers a dynamic work environment where creativity and innovation are encouraged. You will have the opportunity to work on projects that have a significant impact on the user experience and contribute to the company's mission of inspiring users worldwide. We provide competitive compensation and benefits, including flexible work arrangements to support your work-life balance. Join us in shaping the future of Pinterest and making a difference in the lives of millions of users.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Pinterest.

Similar Jobs You Might Like

Based on your interests and this role

Pinterest

Machine Learning Engineer

Pinterest📍 San Francisco - Remote

Pinterest is hiring a Staff Machine Learning Engineer to lead modeling strategies for content understanding. You'll work with technologies like Python and machine learning frameworks to design and ship production models. This position requires significant experience in machine learning and model productionization.

🏠 RemoteStaff
1w ago
Reddit

Machine Learning Engineer

Reddit📍 United States - Remote

Reddit is seeking a Senior Staff Machine Learning Engineer to lead the Feed Relevance team in building scalable personalization systems. You'll work with Python, TensorFlow, and AWS to enhance user experience for millions of users. This role requires extensive experience in machine learning and system architecture.

🏠 RemoteSenior
1w ago
Reddit

Machine Learning Engineer

Reddit📍 United States - Remote

Reddit is seeking a Senior Staff Machine Learning Engineer to lead the Relevance team in enhancing search systems. You'll work with Python, TensorFlow, and Keras to build large-scale AI-driven solutions. This role requires extensive experience in machine learning and AI technologies.

🏠 RemoteSenior
1w ago
Patreon

Machine Learning Engineer

Patreon📍 San Francisco - Hybrid

Patreon is hiring a Senior Staff Machine Learning Engineer to support their Relevance team in building ML-driven systems for search and recommendations. You'll work with data analysis, model training, and deployment in a hybrid work environment based in San Francisco or New York.

🏢 HybridSenior
4 months ago
GoFundMe

Ai Engineer

GoFundMe📍 San Francisco - Hybrid

GoFundMe is seeking an AI Platform Lead Architect to design and implement AI platforms and workflows. You'll work with machine learning and AI technologies to deliver impactful solutions. This role requires extensive experience in AI and machine learning architecture.

🏢 HybridLead
2w ago