Description
We're seeking a talented Machine Learning Engineer to join our Core Engineering team. As a Machine Learning Engineer at Pinterest, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces, while gaining knowledge of how ML works in different areas.
Key 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), while gaining knowledge of how ML works in different areas
- Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep 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)
- Degree in computer science, machine learning, statistics, or related field
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
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/pinterest/jobs/6121450