Sr. Staff Machine Learning Engineer, Content Quality

Pinterest; San Francisco (CA); On-site; USD 268,084 - 469,147; Full time

Job summary

Pinterest is seeking a Sr. Staff Machine Learning Engineer to serve as the Technical Lead for Content Quality. This role involves building the technical strategy and unified architecture that drives quality content at scale. The successful candidate will partner with ML engineers, develop a roadmap for signal quality and trust, and execute safety measures for GenAI. Strong experience in machine learning deployment and driving technical strategy at an organizational level is required. The position offers a salary range of $268,084 - $469,147 USD.

Qualifications

• Experience driving technical strategy at an organizational level.
• Expertise in content modeling at a consumer internet scale.
• Strong measurement and scalability experience.

Responsibilities

• Architect and develop a roadmap for signals capturing quality and trust.
• Drive safety of GenAI and conversational use cases.
• Partner closely with ML engineers to translate ideas into production-ready signals.

Skills

Technical strategy development

Content modeling

Machine learning knowledge

Cross-functional collaboration

Big data technologies (Hadoop/Spark/Kafka/Flink)

Machine learning scale deployment

Thought leadership (publications/conference speaking)

Experience with AI coding assistants

Job description

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn’t just a feature, it’s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Position Overview

We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology. We are seeking strong hands on machine learning background including content modeling, signal lifecycle, and platforms used to enforce signal use with downstream use cases.

You’ll be working with other leads to set and execute a long-term strategy for the team, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class capabilities. You’ll also foster a healthy community where all Content Quality engineers can learn best practices, collaborate effectively and understand our technical direction.

What you’ll do

• Architect and develop a roadmap and processes for building and delivering signals capturing quality and trust aspects of content at Pinterest.
• Drive safety of GenAI and Conversational use cases including safety alignment and VLMs.
• Work with downstream teams to align on use cases, evaluate signal impact, and drive adoption of signals in models, ranking systems, and decision-making workflows.
• Partner closely with ML engineers to translate ideas into production-ready signals, from problem formulation and feature design to validation and deployment.

What we’re looking for

• Experience driving technical strategy at an organizational level.
• Expertise in content modeling at consumer internet scale.
• Using GenAI for scaling ML development.
• Strong ability to work cross-functionally and with partner engineering teams.
• Experience working with multiple stakeholders.
• Strong measurement and scalability experience.
• Strong ML knowledge and expertise.
• Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus.
• Machine Learning at scale deployment experience (note this is different from having ML theoretical knowledge, which is a nice to have).
• Thought Leadership: Publication and/or conference speaking experience is a plus.
• Nice to have:
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

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.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$268,084 - $469,147 USD

Our Commitment to Inclusion

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition or genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complethis formfor support.