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PinterestStaff Machine Learning Engineer, Ads Conversion Core Modeling
Pinterest operates a digital platform designed to help people around the world discover creative ideas, plan projects, and find inspiration. The company is currently hiring a…
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About This Role
Pinterest operates a digital platform designed to help people around the world discover creative ideas, plan projects, and find inspiration. The company is currently hiring a Staff Machine Learning Engineer to guide the technical vision for the Ads Conversion Core Modeling team. In this position, the professional will build advanced systems for a global marketplace, focusing on predicting user actions and improving relevance with low latency. This opportunity is well-suited…
Job Description
Pinterest operates a digital platform designed to help people around the world discover creative ideas, plan projects, and find inspiration. The company is currently hiring a Staff Machine Learning Engineer to guide the technical vision for the Ads Conversion Core Modeling team. In this position, the professional will build advanced systems for a global marketplace, focusing on predicting user actions and improving relevance with low latency.
This opportunity is well-suited for an experienced practitioner with a strong background in large-scale machine learning, applied statistics, and technical leadership. The selected candidate will design deep neural networks, extract insights from text and visual signals, and collaborate closely with product and sales groups. Candidates must be comfortable integrating AI tooling into their daily engineering workflows to accelerate tasks while maintaining strict personal accountability for quality and security.
The role operates under a hybrid framework requiring professionals to work from a commutable distance to designated office hubs in San Francisco, Palo Alto, or Seattle, with an in-office collaboration requirement of one to two times per month. Applicants must be based in the United States. Compensation for this position includes a base salary range between $222,716 and $389,753 USD, alongside eligibility for equity.
Responsibilities
- Lead the technical strategy and development for applied machine learning initiatives focused on ads conversion.
- Design and construct large-scale deep neural network models to forecast user actions efficiently.
- Extract and process text, visual, and user signals to identify intentions and deduce interests.
- Integrate artificial intelligence to speed up analysis while applying personal verification to guarantee accuracy.
- Automate routine engineering tasks such as QA checks, reporting, and documentation.
- Provide coaching and mentorship to engineers while partnering with product and sales divisions on new offerings.
Requirements
- Possess at least six years of professional background developing production-level machine learning systems at scale in search, recommendations, or ranking.
- Accumulate a minimum of two years of experience steering technical projects or managing engineering teams.
- Demonstrate proficiency in utilizing artificial intelligence assistants to optimize daily workflows for development and debugging.
- Maintain high professional integrity and ownership over sensitive data and final outputs.
- Bring a strong mathematical background encompassing statistical methods and A/B testing.
Qualifications
- Hold a Bachelor's degree in Statistics, Computer Science, or a related discipline.
Core Skills
Benefits
- Eligible for equity in addition to base compensation.
Frequently Asked Questions
What is the salary range for this position?
The base salary range for this US-based role is $222,716 to $389,753 USD, and the position is also eligible for equity.
Is this a remote or in-office position?
This is a hybrid role requiring employees to work from a commutable distance to the San Francisco, Palo Alto, or Seattle offices for in-person collaboration one to two times per month.
What level of experience is required for this role?
Candidates must have at least six years of industry experience building production machine learning systems at scale, plus two years of experience leading technical projects or teams.
Is relocation assistance provided?
The job posting states that this position is not eligible for relocation assistance.
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