1h ago
Machine Learning Engineer, Monetization Engineering
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
full-timemid Hybridtechnology
Tech Stack
Description
You will develop and execute a vision for the evolution of the machine learning technology stack within Ads, building cutting-edge technology using deep learning and machine learning to personalize Pinterest and connect Pinners with partners.
Requirements
- 2+ years industry experience applying ML methods
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with data processing pipelines, large scale ML systems, and big data technologies
- Practical knowledge of large scale recommender systems or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have: publications at top ML conferences or experience with AI coding assistants
Responsibilities
- Build cutting edge technology using latest advances in deep learning and machine learning to personalize Pinterest
- Partner with teams to improve ML models for various product surfaces
- Use data driven methods and leverage data properties to improve candidate retrieval
- Work in high-impact environment with quick experimentation and product launches
- Leverage LLMs to enhance content understanding
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