Overview

Imagine shaping the daily inspiration for millions of people around the globe. At Pinterest, our Homefeed is where dreams take flight, where new ideas are discovered, and where users connect with the content that truly moves them. This vital, dynamic space is powered by sophisticated machine learning, and we're looking for an exceptional Staff Machine Learning Engineer to join our team. If you're passionate about building intelligent systems that not only scale but genuinely enhance human creativity and joy, then this unique, fully remote opportunity might just be your next great adventure. We believe AI should augment our abilities, and you'll be at the forefront of this mission, crafting the algorithms that bring inspiration to life for our diverse global community.

As a Staff Machine Learning Engineer focused on the Homefeed, you will play a pivotal role in evolving the core experience for millions of Pinners worldwide. Our Retrieval team builds shared machine learning infrastructure and models, forming the backbone of how content is discovered on Pinterest. This is a fully remote, global opportunity, allowing you to contribute from wherever you do your best work. You'll work on advanced machine learning systems that personalize content, improve discovery, and ensure every user finds something wonderful on their feed. We're a company driven by innovation, where AI is seen as a powerful partner, not just a tool, augmenting our creativity and amplifying our impact on users' lives.

Key Responsibilities

Lead the design, development, and deployment of large-scale machine learning models that power the Pinterest Homefeed.
Advance core retrieval, ranking, and recommendation systems, ensuring relevance and engagement for our global user base.
Drive technical strategy and roadmap for critical ML initiatives within the Homefeed domain.
Collaborate closely with product managers, data scientists, and other engineering teams to translate business needs into robust ML solutions.
Mentor and provide technical guidance to other engineers, fostering a culture of excellence and continuous learning.
Evaluate and integrate cutting-edge research and techniques into our production systems.
Contribute to the broader ML platform and infrastructure, enhancing scalability, reliability, and developer efficiency.

Requirements

Many years of hands-on experience designing, building, and deploying machine learning systems in a production environment, specifically within ranking, retrieval, or recommendation domains.
A strong technical background with significant experience as a Staff Machine Learning Engineer or in a similar senior leadership role.
Expertise in machine learning fundamentals, including model design, training, evaluation, and deployment strategies.
Proficiency in at least one general-purpose programming language such as Python, Scala, or Java.
Demonstrated ability to lead complex technical projects from inception through successful delivery.
Experience with large-scale data processing technologies and ML frameworks.
Excellent communication, collaboration, and problem-solving skills, with a track record of influencing technical direction.
A deep understanding of how to build and maintain high-performance, scalable, and reliable ML infrastructure.

What You'll Gain

The opportunity to shape the core product experience for millions of users worldwide every single day.
Work at the forefront of AI innovation, where your contributions directly augment human creativity and discovery.
Significant professional growth, taking on challenging problems and leading impactful technical initiatives.
A supportive, inclusive, and collaborative remote-first culture that values diverse perspectives.
The flexibility to work from anywhere, allowing you to create a career and life you truly love.
Be part of a mission-driven company dedicated to bringing inspiration to everyone.