Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
On the Content Signals team, you’ll be responsible for building machine learning signals from NLP and CV components to productionizing the end product in batch and real-time setting at Pinterest scale. Our systems offer rich semantics to the recommendation platform and enable the product engineers to build deeper experiences to further engage Pinners. In understanding structured and unstructured content, we leverage embeddings, supervised and semi-supervised learning, and LSH. To scale our systems we leverage Spark, Flink, and low-latency model serving infrastructure.
What you’ll do:
Apply machine learning approaches to build rich signals that enable ranking and product engineers to build deeper experiences to further engage Pinners
Own, improve, and scale signals over both structured and unstructured content that bring tens of millions of rich content to Pinterest each day
Drive the roadmap for next-generation content signals that improve the content ecosystem at Pinterest.
What we’re looking for:
Deep expertise in content modeling at consumer Internet scale
Strong ability to work cross-functionally and with partner engineering teams
Expert in Java, Scala or Python.
Pinterest is full of possibilities to design your life. Discover recipes, style inspiration, projects for your home and other ideas to try.