Senior Staff Machine Learning Engineer, Applied Science

Senior Staff Machine Learning Engineer, Applied Science

We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Pinterest. In this role, you will tackle new challenges in machine learning that will have a real impact on the way people discover and interact with the world around them.  You will collaborate with a world-class team of research scientists and engineers to develop new machine learning algorithms, systems, and applications that will bring step-function impact to the business metrics (recent publications 1, 2, 3).  You will also have the opportunity to work on a variety of exciting projects in the following areas: 

  • representation learning
  • recommender systems
  • graph neural network
  • natural language processing (NLP)
  • inclusive AI
  • reinforcement learning
  • user modeling

You will also have the opportunity to mentor junior researchers and collaborate with external researchers on cutting-edge projects.  

What you'll do: 

  • Lead cutting-edge research in machine learning and collaborate with other engineering teams to adopt the innovations into Pinterest problems
  • Collect, analyze, and synthesize findings from data and build intelligent data-driven model
  • Scope and independently solve moderately complex problems; 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

 

What we're looking for:

  • Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Pytorch, Tensorflow, MLFlow)
  • Experience in research and in solving analytical problems
  • Strong communicator and team player. Being able to find solutions for open-ended problems
  • 8+ years working experience in the r&d or engineering teams that build large-scale ML-driven projects
  • 3+ years experience leading cross-team engineering efforts that improves user experience in products
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field

 

Desired skills:

  • Strong publication track record and industry experience in shipping machine learning solutions for large-scale challenges 
  • Cross-functional collaborator and strong communicator
  • Comfortable solving ambiguous problems and adapting to a dynamic environment

 

This position is not eligible for relocation assistance.

 

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