What's the salary range?

Pinterest lists $222,716–$389,753 for this role.

How much experience is required?

At least 6 years of relevant experience for this Staff Machine Learning Engineer, Ads Conversion Core Modeling 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: A/B Testing, AI, Deep Neural Networks, Machine Learning, Statistical Methods.

What seniority level is this role?

Pinterest targets staff-level candidates for this position.

Staff Machine Learning Engineer, Ads Conversion Core Modeling at Pinterest

Joblaze summary

The Staff Machine Learning Engineer at Pinterest focuses on leading the development of advanced machine learning systems to enhance ad conversion through user action prediction. This role requires expertise in building large-scale deep neural networks and leveraging AI tools for efficiency in workflows. Ideal candidates have over six years of experience in production ML systems and a strong mathematical background, along with leadership skills to mentor engineers and collaborate across teams. Pinterest emphasizes a culture of innovation and accountability, making this position suitable for seasoned professionals looking to make a significant impact.

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.
1670 active AI roles on Joblaze right now.
798 active Machine Learning roles on Joblaze right now.
74 active A/B Testing roles on Joblaze right now.
Salary band is above the typical range for AI/ML roles (median ~$188,000).
Pays more than 84% of the 683 salaried AI roles we track (median $159,800). See AI salary trends

Quick facts

Is the Staff Machine Learning Engineer, Ads Conversion Core Modeling 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 $222,716–$389,753 for this role.
How much experience is required?: At least 6 years of relevant experience for this Staff Machine Learning Engineer, Ads Conversion Core Modeling 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: A/B Testing, AI, Deep Neural Networks, Machine Learning, Statistical Methods.
What seniority level is this role?: Pinterest targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Machine Learning Engineer, Ads Conversion Core Modeling 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.

We are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace.

What you’ll do:

Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion.
Design and build large-scale DNN models to improve user action prediction with low latency.
Mine text, visual, and user signals to better understand intention and infer interests from online activity.
Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality.
Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle.
Coach and mentor engineers while collaborating with product and sales to design new ad products.

What we’re looking for:

Bachelor's degree in Computer Science, Statistics, or a related field.
6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking).
2+ years of experience leading technical projects or teams.
Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
Experience with 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.
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables.
Strong mathematical foundation and experience with statistical methods and A/B testing.

Relocation Statement:

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

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

#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

$222,716—$389,753 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.

Staff Machine Learning Engineer, Ads Conversion Core Modeling

Similar positions