Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love.
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)
Expertise in scalable realtime systems that process stream data
Passion for applied ML and the Pinterest product
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 candidates retrieval
Work in a high-impact environment with quick experimentation and product launches
Keeping up with industry trends in recommendation systems
Other
This position is not eligible for relocation assistance.
US based applicants only
Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
