Staff Machine Learning Engineer - Applied Science
PinterestJob Summary
Join Pinterest Labs as a researcher in machine learning and artificial intelligence. You'll work with a world-class team to tackle new challenges, conduct research, and apply findings across various engineering teams. Your responsibilities will include contributing to cutting-edge research, collecting and analyzing data, writing clean code, and solving complex problems. We're looking for candidates with a strong background in computer science, machine learning, or related fields, as well as experience in industry and research. As a remote worker, you'll have flexible options and $4,000/year travel stipends. Apply now to shape the future of AI!
As Pinterest Labs, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: computer vision, graph neural network, natural language processing (NLP), inclusive AI, reinforcement learning, user modeling, and recommender systems.
What you’ll do:
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 growth, discovery, ads and search
Scope and independently solve moderately complex problems
What we’re looking for:
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
6+ years of industry experience
Experience in machine learning/information retrieval
Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
Experience in research and in solving analytical problems
Cross-functional collaborator and strong communicator
Comfortable solving ambiguous problems and adapting to a dynamic environment
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
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