Machine Learning Intern, Pinterest

• This role will be on our Lower Funnel Monetization team. We are looking for candidates with experience in recommendation systems
• Working towards a Master's or PhD degree in Computer Science, ML, Statistics, Information Sciences or related field
• Machine Learning (ranking, recommendation systems, NLP, content recommendations, embedding, information retrieval etc)
• Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Practical knowledge of large scale recommender systems or modern ads ranking, retrieval, targeting, marketplace systems
• Strong communicator and team player, with a self-motivated mindset and the ability to find solutions for open-ended problems

Desirable

• As a Machine Learning Intern at Pinterest within our monetization organization, you’ll work on tackling new challenges in machine learning and artificial intelligence within ads.
• Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.
• Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners
• Contribute in cutting-edge research in machine learning and artificial intelligence to personalize Pinterest
• 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 ads
• Scope and independently solve moderately complex problems
• Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers