Description
About this role:
We're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
Key responsibilities include:
- Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
- Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval
- Working in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
Requirements:
- 2+ years of industry experience applying machine learning methods
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies
- Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable real-time systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
This position is not eligible for relocation assistance.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/pinterest/jobs/6121551