Job Details

We are looking for a Principal Machine Learning Engineer, a senior technical visionary, to be the Principal Technical Lead for the Content & Trust Engineering teams setting up overall technical strategy, unified technical architecture and defining a roadmap for industry leading methodology. Strong hands on machine learning background including deep learning architectures, generative AI, low-resource ML (zero shot, few shot), responsible AI and large scale deployment and measurement is required.

As the Principal Machine Learning Engineer you'll be responsible for the technical direction, strategy and health of our Content and Trust Engineering org. You'll ensure that our technology can deliver on the business/product requirements necessary to keep Pinterest safe and positive. This means working with other leads to set and execute a long-term strategy for Content and Trust, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class Content and Trust capabilities. You'll also foster a healthy community where all ML engineers can learn best practices, collaborate effectively and understand our technical direction.

What you'll do

• Develop strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points
• Champion and drive large-scale, cross-functional initiatives that improve the trust and safety of our platform
• Act as the ultimate "customer representative" for engineers on Content and Trust including representing needs to leadership and prioritizing projects on the platform teams that ensure high quality capabilities and a world-class Pinner experience
• Scale your leadership through both direct mentorship and via best practices, processes, training and tools.
• Ensure solid technical plans are in place for projects within Trust via direct review or delegation
• Be the technical point of contact for decisions that impact the whole Pinterest platform and for cross-functional partners like policy, operations and legal

What we're looking for:

• Deep expertise building large scale ML systems at scale with modern frameworks
• Knowledge of (and a passion for) building responsible and quality first discovery surfaces
• Track record of delivering large, cross-functional projects across multiple organizations
• Strong written and verbal communication skills and proven ability to collaborate cross-functionally

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.
• This role will need to be in the office for in-person collaboration 1 time per quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.

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