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, United States.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI, Deep Neural Networks, Machine Learning.

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 for Ads Conversion Core Modeling at Pinterest is responsible for leading the development of advanced machine learning systems that enhance user action predictions and optimize ad performance. This role requires expertise in building large-scale deep neural networks and leveraging AI tools for efficient workflow management. Ideal candidates will have significant experience in production ML systems and a strong background in statistical methods, making this position suitable for seasoned professionals looking to influence ad technology. The team emphasizes collaboration and innovation, reflecting Pinterest's commitment to integrating AI into its core operati

Joblaze insights

Listed today — first seen on Joblaze October 17, 2026. Last confirmed on Pinterest's careers page October 17, 2026.
This exact title is also open at 1 other location at Pinterest: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US.
Salary band is above the typical range for AI/ML roles (median ~$190,000).
Starts above 39% of 38 comparable staff ai/ml roles in United States that list Machine Learning we track (median $230,000 across 15 companies). See Machine Learning salary trends
Machine Learning appears in 18.6% of 280 comparable staff ai/ml roles in United States; Deep Neural Networks appears in 0.7% of 280 comparable staff ai/ml roles in United States.

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, United States.
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, United States.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI, Deep Neural Networks, Machine Learning.
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:

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.
Minimum 6 years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking).
Minimum 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.

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.

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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.

US based applicants only

$222,716—$389,753 USD

Our Commitment to Inclusion:

Standard company text repeated across Pinterest's postings is omitted here.

Staff Machine Learning Engineer, Ads Conversion Core Modeling

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