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Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. Tackle new challenges in machine learning and artificial intelligence, conduct research that can be applied across Pinterest engineering teams, and engage in external collaborations and mentoring.

Requirements

• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
• Experience in research and in solving analytical problems
• Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
• Interest in research and in applying ML to impactful real-world problems on the Pinterest product

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.

Other

• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Strong communicator and team player with the ability to find solutions for open-ended problems.
• Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars.
• Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
• US based applicants only