Sr. Staff Machine Learning Engineer, Ads Content Quality
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 helpingPinnersmake 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.
Pinterest is one of the fastest growing online ad platforms and our success depends on keeping the platform a safe and positive place, while connecting Pinners with the most relevant advertisers.
The Ads content quality team is responsible for developing ML models to develop deep knowledge about ads quality, using such knowledge to influence ads ranking and ultimately, delivering positive pinner and advertiser experiences.
We leverage a wide range of ML technologies, such as LLM, multi-modal learning, distillation, etc to that end.
What you'll do :
- Own the technical direction of Ads content quality at Pinterest.
- Serve as technical authority for engineering design and implementation of end to end systems to develop ads content understanding and quality signals for delivery of relevant high-performing ads.
- Work with a diverse group of engineers and program managers within the monetization group, and devise effective technical strategy and roadmap.
- Be hands-on and develop models and systems that lead to step-function improvements of Ads products. Serve as a technical mentor to team members, setting an example for best practices and impact.
- Research and apply cutting edge ML techniques, like LLM, multi-modal modeling, distillation, human-in-the-loop systems, etc.
to enable Pinterest to be a safe and performant advertising platform.
What we're looking for :
- MS or Ph.D degree in Computer Science, Machine learning, Statistics, or related field.
- Experience in both designing and implementing large scale ML applications. Experience with content understanding is a strong plus.
- Rich experience in leveraging ML technologies in Ads delivery, and deep understanding of delivery tech stack and product development cycle.
- Strong execution skills in project management, with the leadership capability for XFN projects.
- Experience using LLM, multi-modal modeling, etc is a strong plus.
This position is not eligible for relocation assistance.
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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, 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, 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 an accommodation during the job application process, please notify [email protected] for support.
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