Job Description

Locations

• San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US (Remote)

Salary

Skills Required

• Machine learning methods (user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, graph representation learning)intermediate
• Building data processing pipelinesintermediate
• Large scale machine learning systemsintermediate
• Big data technologies (Hadoop/Spark)intermediate
• Deep learningintermediate

Required Qualifications

• 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) (experience)
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) (experience)
• Degree in computer science, machine learning, statistics, or related field (experience)

Preferred Qualifications

• M.S. or PhD in Machine Learning or related areas (experience)
• Publications at top ML conferences (experience)
• Expertise in scalable realtime systems that process stream data (experience)
• Passion for applied ML and the Pinterest product (experience)

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
• Keep up with industry trends in recommendation systems

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