Principal Machine Learning Engineer, Trust & Safety

Pinterest is seeking a Principal Machine Learning Engineer to lead their Trust Engineering team, focusing on trust and safety initiatives that keep their platform safe and positive for millions of users worldwide. This senior technical role will be responsible for setting the overall technical strategy, unified architecture, and defining industry-leading methodologies for trust and safety systems.

The position requires deep expertise in machine learning, including deep learning architectures, generative AI, and low-resource ML techniques. As the Principal Technical Lead for Trust Engineering, you'll shape the technical direction and health of the entire Trust Engineering organization, ensuring technology delivery aligns with business and product requirements for platform safety.

Pinterest offers a flexible work environment with their PinFlex model, requiring only quarterly in-person collaboration. The role offers a competitive compensation package ranging from $249,900 to $480,238 USD, plus equity opportunities. The company emphasizes building an equitable and inclusive workplace, making decisions based on merit and welcoming diverse perspectives.

Key responsibilities include developing strategic partnerships with product teams, championing large-scale trust and safety initiatives, mentoring other engineers, and serving as the technical point of contact for platform-wide decisions. The ideal candidate will have extensive experience building large-scale ML systems, strong communication skills, and a proven track record of delivering cross-functional projects.

This role presents an opportunity to make a significant impact on Pinterest's trust and safety infrastructure while working with cutting-edge machine learning technologies. The position offers the flexibility of remote work while maintaining meaningful collaboration through quarterly in-person meetings.