About the Company
Pinterest is a visual discovery engine for finding ideas like recipes, home and style inspiration, and more. With billions of Pins on Pinterest, it’s a treasure trove of visual inspiration. We are dedicated to bringing everyone the inspiration to create a life they love.
Job Description
As a Pinterest Metadata Analyst with a Machine Learning focus, you will play a crucial role in enhancing the quality, consistency, and structure of metadata across Pinterest’s vast content ecosystem. You will work at the intersection of data science, content strategy, and machine learning, driving improvements in how our content is classified, tagged, and surfaced to users. Your insights will directly influence the performance of our recommendation systems, search functionality, and overall user experience. This role requires a deep understanding of metadata principles, strong analytical skills, and hands-on experience with machine learning concepts.
Key Responsibilities
- Analyze large datasets to identify metadata inconsistencies, gaps, and opportunities for improvement.
- Develop and implement strategies for metadata governance, quality control, and enrichment, leveraging machine learning techniques.
- Collaborate with data scientists and machine learning engineers to build and refine models for automated metadata generation, classification, and disambiguation.
- Define and track key performance indicators (KPIs) for metadata quality and impact on user engagement.
- Conduct A/B tests and experiments to validate metadata improvements and inform product decisions.
- Document metadata schemas, guidelines, and best practices for various content types.
- Stay current with industry trends in metadata management, semantic web technologies, and machine learning.
Required Skills
- Bachelor's degree in Computer Science, Data Science, Information Systems, Linguistics, or a related quantitative field.
- 3+ years of experience in data analysis, metadata management, or content classification, preferably in a large-scale online platform environment.
- Strong proficiency in SQL for data querying and manipulation.
- Experience with Python or R for data analysis and scripting.
- Familiarity with machine learning concepts, algorithms (e.g., classification, clustering), and tools/libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Ability to communicate complex data insights effectively to both technical and non-technical audiences.
Preferred Qualifications
- Master's degree in a relevant field.
- Experience with natural language processing (NLP) techniques for text analysis and entity extraction.
- Knowledge of graph databases or knowledge representation systems.
- Previous experience working with metadata in a social media or e-commerce context.
- Experience with cloud platforms (e.g., AWS, GCP, Azure).
Perks & Benefits
- Comprehensive health, dental, and vision insurance.
- Generous paid time off, including holidays and sick leave.
- Flexible work arrangements and remote-first culture.
- Professional development opportunities and education stipends.
- Employee stock purchase program.
- 401(k) retirement plan with company match.
- Wellness programs and mental health support.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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