About the company
Pinterest is a platform where millions of people find creative ideas, dream about new possibilities, and plan for memories. With over 500 million users and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. The teams are small, mighty, and still growing, offering hands-on access to an incredible vault of data and large-scale recommendation systems.
Responsibilities
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work 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 (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience
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
- Familiarity with LLM-powered productivity tools
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Conditions
- This position is not eligible for relocation assistance.
- Base salary range: $138,905 — $285,982 USD, plus equity.