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PinterestSr. Machine Learning Engineer, EPD Ads
Pinterest operates a platform with over 500 million global users where people save ideas and discover inspiration. The company maintains a workforce of just over 4,000…
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About This Role
Pinterest operates a platform with over 500 million global users where people save ideas and discover inspiration. The company maintains a workforce of just over 4,000 employees and relies on machine learning to power personalized user experiences. As a Sr. Machine Learning Engineer within the Monetization Engineering team in San Francisco, the successful candidate will shape the vision and evolution of the machine learning technology stack dedicated to ads. This…
Job Description
Pinterest operates a platform with over 500 million global users where people save ideas and discover inspiration. The company maintains a workforce of just over 4,000 employees and relies on machine learning to power personalized user experiences.
As a Sr. Machine Learning Engineer within the Monetization Engineering team in San Francisco, the successful candidate will shape the vision and evolution of the machine learning technology stack dedicated to ads. This position involves developing cutting-edge technology utilizing modern deep learning and machine learning advances to personalize the Pinterest platform. Engineers in this role will collaborate across different product surfaces, including Homefeed, Ads, Growth, Shopping, and Search, while leveraging unique data properties to optimize candidate retrieval.
This role suits engineers interested in high-impact environments that feature rapid product experimentation and launches. Qualified professionals will engage with large-scale recommendation systems, apply large language models for content understanding, and follow industry trends closely.
Responsibilities
- Develop and execute a vision for advancing the machine learning technology stack within Ads
- Build cutting-edge tech utilizing deep learning and machine learning advances for personalization
- Partner with teams across surfaces like Homefeed, Ads, Growth, Shopping, and Search to experiment and improve models
- Utilize data-driven methods and unique data properties to enhance candidate retrieval
- Operate in a high-impact setting characterized by quick experimentation and product launches
- Monitor industry trends related to recommendation systems
- Incorporate large language models to improve content comprehension
Requirements
- At least 2 years of industry experience applying machine learning methods such as personalization, user modeling, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning
- Possess a degree in computer science, statistics, or a related field, or have equivalent practical experience
- Demonstrate end-to-end hands-on background building data processing pipelines, big data technologies like Hadoop or Spark, and large-scale machine learning systems
- Have practical knowledge regarding large-scale recommender systems, modern ads ranking, retrieval, targeting, or marketplace systems
Qualifications
- Hold an M.S. or PhD in Machine Learning or related disciplines
- Bring publications at top machine learning conferences
- Possess experience utilizing AI coding assistants such as Cursor, Copilot, or Codex for tasks including development, debugging, testing, and refactoring
- Show familiarity with large language model-powered productivity tools for documentation search, data exploration, experiment analysis, and workflow acceleration
- Demonstrate expertise in scalable real-time systems processing stream data
- Exhibit a passion for applied machine learning and the Pinterest product alongside a background in computational advertising
Core Skills
Benefits
- Eligibility for equity in addition to base salary
- Access to the PinFlex working model
Frequently Asked Questions
Where is this job located?
This position is based in San Francisco, California.
What is the salary range for this role?
The base salary range for US-based applicants is $189,721 to $332,012 USD, and the position is also eligible for equity.
Is relocation assistance provided?
No, this position is not eligible for relocation assistance.
What is the employment type?
The posting specifies that this is a full-time, on-site role for US-based applicants.
Sample Interview Questions
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