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.

We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality organization for Trust Engineering 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 systems, tools, and processes for computing and delivering signals capturing quality and trust aspects of content at Pinterest
Lead technical roadmap for ml flywheel - a suite of machine learning capabilities to improve performance and efficiency of signal engineering
Collaborate with Machine Learning engineers during conceptualization and productionization of signal
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 architect signal adoption frameworks

What we’re looking for:

Experience driving technical strategy at an organizational level
Expertise in content modeling at consumer internet scale
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
Strong Machine Learning at scale deployment experience (note this is different from having ML theoretical knowledge, which is a nice to have)
Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus
Thought Leadership: Publication and/or conference speaking experience is a plus
Using GenAI for scaling ML development is a plus

Relocation Statement:

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

#LI-SM4

#LI-HYBRID

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

$206,456—$360,985 USD

Our Commitment to Diversity:

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, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify [email protected] for support.

Senior Staff Machine Learning Engineer, Content Quality - Trust Engineering

Alternative Jobs

Automate your job search with AI

Popular searches