What's the salary range?

Pinterest lists $227,871–$469,147 for this role.

How much experience is required?

At least 7 years of relevant experience for this Sr. Staff Machine Learning Engineer, Monetization Engineering role.

Where is the role based?

Pinterest is hiring for this position in San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US.

What's the tech stack?

Joblaze extracted these technologies from the posting: Computational Advertising, Machine Learning, Statistical Models, e-commerce.

What seniority level is this role?

Pinterest targets staff-level candidates for this position.

Sr. Staff Machine Learning Engineer, Monetization Engineering at Pinterest

Joblaze summary

In this role, the Sr. Staff Machine Learning Engineer focuses on enhancing Pinterest's marketplace by developing backend systems and statistical models that optimize ad delivery. Key skills include strong software engineering, mathematical proficiency, and experience with large-scale e-commerce systems, ideally in computational advertising. This position is suited for seasoned professionals with over seven years of industry experience who can drive cross-functional collaboration. The team emphasizes innovation and flexibility, reflecting Pinterest's commitment to creativity and growth.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Pinterest's career page.
Pinterest has 195 other open roles including Lead Ads Product Marketing Manager, Sr. Programmatic Tech Operations Specialist , Sr. Client Account Manager, Home.
798 active Machine Learning roles on Joblaze right now.
27 active e-commerce roles on Joblaze right now.
7 active Statistical Models roles on Joblaze right now.
Salary band is above the typical range for AI/ML roles (median ~$188,000).
Pays more than 73% of the 354 salaried Machine Learning roles we track (median $185,000). See Machine Learning salary trends

Quick facts

Is the Sr. Staff Machine Learning Engineer, Monetization Engineering role remote?: It's hybrid — Pinterest expects some on-site time in San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US.
What's the salary range?: Pinterest lists $227,871–$469,147 for this role.
How much experience is required?: At least 7 years of relevant experience for this Sr. Staff Machine Learning Engineer, Monetization Engineering role.
Where is the role based?: Pinterest is hiring for this position in San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US.
What's the tech stack?: Joblaze extracted these technologies from the posting: Computational Advertising, Machine Learning, Statistical Models, e-commerce.
What seniority level is this role?: Pinterest targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Staff Machine Learning Engineer, Monetization Engineering role at Pinterest.

From the original posting

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.

Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.

What you’ll do:

Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
Define and implement experiments to understand long term Marketplace effects.
Develop strategies to balance long and short term business objectives.
Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

What we’re looking for:

MS or PhD degree in Computer Science, Statistics, related field, or equivalent experience.
7+ years of industry experience.
Strong software engineering and mathematical skills with knowledge of statistical methods.
Hands-on experience with large-scale online e-commerce systems is a plus.
Background in computational advertising is preferred, but not required.

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.
This role will need to be in the office for in-person collaboration 1 time/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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

$227,871—$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, 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 complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Sr. Staff Machine Learning Engineer, Monetization Engineering

Similar positions