Machine Learning Engineer II, Content Quality
About Pinterest:
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.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
Our team
We build components that play a key role in the model lifecycle. Active Learning reinforces signal performance on optimal training data. Streaming and batch signal delivery components improve signal integration across all of the user facing surfaces at Pinterest. The team works on key company objectives and is responsible for key metrics. To scale our systems we leverage Spark, Flink, and low-latency model serving infrastructure.
What you'll do:
- Architect and develop systems, data pipelines, tools that accelerate model life cycle
- Collaborate with signal owners during conceptualization and productionization of signals
- Work with infrastructure and platform teams to build the right set of tools and APIs to support signal hosting and delivery
- Collaborate with signal consuming teams to facilitate signal adoption
What we're looking for:
- 2+ years of industry experience
- Expertise in at least one of the generic programming languages (Java/Scala/C++/Python)
- Expertise with machine learning modeling lifecycle
- Hands-on experience in building and debugging scalable backend services and APIs
- Hands-on experience with large-scale distributed systems (distributed storage systems, stream processing, inference, and deployment at scale)
- Strong ability to work cross-functionally and with partner engineering teams
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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Our Commitment to Inclusion:
