Job Description

Locations

• San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US

Salary

Skills Required

• Proficiency in Java, C++, or Pythonintermediate
• Proficiency in Tensorflow, Pytorch, or MLFlowintermediate
• Experience with Hadoop or Sparkintermediate
• Experience with scalable realtime systems that process stream dataintermediate
• Research and analytical problem-solvingintermediate
• Strong communication and teamworkintermediate
• Machine learningintermediate
• Natural language processingintermediate
• Graph analysisintermediate

Required Qualifications

• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field (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

• Lead your own project start to finish to contribute in 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 models
• 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
• Scope and independently solve moderately complex problems
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed

Benefits

• general: Meaningful Work: Contribute to projects that impact millions of users worldwide
• general: Mentorship: Learn from and be guided by experienced engineers and researchers in the field
• general: Growth and Development: Participate in professional development workshops and networking events to build your skills and connections

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