Opportunity at
PinterestSr. Machine Learning Engineer, Core Engineering
Pinterest seeks a Sr. Machine Learning Engineer, Core Engineering to join its team of over 3,000 global employees. Pinterest operates a platform used by more than…
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About This Role
Pinterest seeks a Sr. Machine Learning Engineer, Core Engineering to join its team of over 3,000 global employees. Pinterest operates a platform used by more than 535 million people globally to save ideas and find inspiration. In this position, the engineer will work on recommendation systems and large-scale machine learning applications using a massive data repository. This role suits professionals who want to build personalized experiences across product surfaces such…
Job Description
Pinterest seeks a Sr. Machine Learning Engineer, Core Engineering to join its team of over 3,000 global employees. Pinterest operates a platform used by more than 535 million people globally to save ideas and find inspiration. In this position, the engineer will work on recommendation systems and large-scale machine learning applications using a massive data repository.
This role suits professionals who want to build personalized experiences across product surfaces such as Search, Ads, Homefeed, Shopping, and Growth. The environment involves rapid product launches and frequent experimentation. Candidates will be evaluated on both their foundational technical abilities and how they collaborate with artificial intelligence during the interview process.
Employment is offered on a full-time basis. The company evaluates applicants based on merit as an equal opportunity employer. Relocation assistance is not available for this role, and candidates can review the PinFlex page for details on the working model.
Responsibilities
- Develop cutting-edge technology applying deep learning and machine learning advances to personalize the platform
- Partner with various internal teams to test and enhance machine learning models across product surfaces like Search, Ads, Homefeed, Shopping, and Growth
- Apply data-driven methods and utilize unique data properties to advance candidate retrieval
- Operate within a high-impact setting characterized by fast experimentation and product deployments
- Monitor industry trends related to recommendation systems
Requirements
- Minimum of four years of industry experience applying machine learning methods including user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning
- End-to-end practical experience building data processing pipelines, large-scale machine learning systems, and big data technologies such as Hadoop or Spark
Qualifications
- Degree in computer science, machine learning, statistics, or a related field
- Master of Science or Doctor of Philosophy in Computer Science, Machine Learning, Natural Language Processing, Statistics, Information Sciences, a related field, or equivalent experience
- Authored publications at top machine learning conferences
- Experience utilizing AI coding assistants like Cursor, Copilot, or Codex for development, debugging, testing, and refactoring
- Familiarity with large language model-powered productivity tools for documentation search, experiment analysis, SQL and data exploration, and engineering workflow acceleration
- Expertise in scalable real-time systems processing stream data
- Demonstrated passion for applied machine learning and the product
Core Skills
Frequently Asked Questions
What is the employment type for this position?
This is a full-time position.
Is relocation assistance provided for this role?
No, this position is not eligible for relocation assistance.
What salary is offered for this role?
The source posting does not specify the salary.
What location is this job based in?
The specific location is not stated in the job posting, though candidates can consult the PinFlex page for information on the working model.
Sample Interview Questions
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