Quick summary
- Work type
- Hybrid
- Location
- San Francisco, CA
- Salary
- $268,084–$469,147 / yr
- Posted
- 6 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 99% of similar roles. Most pay $198,000–$255,625 — the shaded band above. At the midpoint, this role pays about $369k versus about $227k for comparable roles.
Based on 240 similar postings.
Employer
About Pinterest
Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.
Pinterest currently has 36 open roles on FindRole.
Listed pay typically runs $164,695–$332,012 across 35 roles with salary data.
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At a glance
TL;DR · Sr. Staff Machine Learning Engineer, Content Quality
As a Sr. Staff Machine Learning Engineer at Pinterest, you will serve as the Technical Lead for Content Quality, responsible for developing and executing a long-term technical strategy that encompasses content modeling, signal lifecycle management, and platform development to ensure high-quality user-generated content. Your day-to-day responsibilities include architecting processes for capturing quality and trust signals, driving safety initiatives in GenAI and conversational use cases, and collaborating with downstream teams to integrate these signals into models and decision-making workflows. You will work closely with ML engineers to translate ideas into production-ready solutions, ensuring seamless integration across the organization. The ideal candidate possesses expertise in content modeling at consumer internet scale, experience with big data technologies like Hadoop and Spark, and a strong background in machine learning deployment at scale. This role requires extensive cross-functional collaboration and leadership in fostering a community of best practices among Content Quality engineers.
Skills
What you'll do
- Develop and execute a technical strategy for content quality at Pinterest.
- Architect processes for building signals that capture trust and safety aspects of content.
- Drive the alignment and adoption of GenAI and Conversational use cases across teams.
- Collaborate with downstream teams to integrate signals into models, ranking systems, and workflows.
- Translate ideas into production-ready machine learning signals in partnership with ML engineers.
What we're looking for
- Extensive hands-on machine learning background including content modeling and signal lifecycle management.
- Proven ability to drive technical strategy at an organizational level for ML initiatives.
- Expertise in architecting and implementing scalable big data technologies (e.g., Hadoop, Spark).
- Strong cross-functional collaboration skills with partner engineering teams and multiple stakeholders.
- Deep understanding of machine learning deployment at scale, including GenAI applications.
- Bachelor’s or Master’s degree in computer science or equivalent practical experience.
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