Staff Machine Learning Engineer

San Francisco, CA · Remote · San Francisco · USD 227,871-469,147 · 6+ years experience · Remote · Posted Oct 14, 2026

At a glance

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As part of Pinterest Labs, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers.
In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions.

Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search.
Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale.
Identify timelines and obtain resources needed.
Identify new and upcoming research opportunities by interacting with external and internal collaborators.
Own long-term research strategy and plans to expand the impact of Applied Science.
Act as a technical leader in the applied AI space.
Partner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.

MS/PhD in Computer Science, or equivalent industry experience
Minimum 6 years of relevant industry experience
Hands-on experience with large-scale recommendation system and reinforcement learning applications
Technical leadership and experience in driving ambiguous research problems into production deliverables
Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)
Cross-functional collaborator and strong communicator

This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.