Job Description

Locations

• San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

Salary

Skills Required

• Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval)intermediate
• Systems languages: Java, C++, Pythonintermediate
• ML frameworks: Tensorflow, Pytorch, MLFlowintermediate
• Big data technologies: Hadoop, Sparkintermediate
• Scalable realtime systems for stream data processingintermediate
• Research and analytical problem-solvingintermediate
• Communication and teamworkintermediate
• Natural language processingintermediate
• Graph analysisintermediate

Required Qualifications

• PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field (experience)
• Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc) (experience)
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) (experience)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data (experience)
• Experience in research and in solving analytical problems (experience)
• Strong communicator and team player with the ability to find solutions for open-ended problems (experience)

Preferred Qualifications

• Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields (experience)
• Interest in research and in applying ML to impactful real-world problems on the Pinterest product (experience)

Responsibilities

• Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven model
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)
• Build content recommendation systems to power our push, email, and in-app notifications
• Work on state-of-the-art large-scale applied machine learning projects
• Scope and independently solve moderately complex problems

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