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Sr. Machine Learning Engineer, Computer Vision

A visual discovery platform where millions find creative ideas and inspiration.
$150,713 - $310,291
Machine Learning
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI

Description For Sr. Machine Learning Engineer, Computer Vision

Pinterest Labs is seeking a Senior Machine Learning Engineer specializing in Computer Vision to join their visual modeling team. This role focuses on developing Pinterest Canvas, a foundation text-to-image model that powers various visualization features. Working within a small, collaborative team of ~6 engineers, you'll leverage Pinterest's extensive visual-text dataset to build large-scale generative models for production use. The position offers the opportunity to work on cutting-edge AI technology, including diffusion models and multimodal text & image embeddings. The role combines hands-on technical work with research opportunities, allowing you to publish your findings and mentor others. Pinterest offers a flexible working model with quarterly in-person collaboration requirements. The company values diversity and inclusion, providing a merit-based environment where innovation and creativity thrive. This position offers competitive compensation and the chance to impact millions of users through advanced AI applications in visual discovery.

Last updated a day ago

Responsibilities For Sr. Machine Learning Engineer, Computer Vision

  • Prototype new model architectures for Pinterest Canvas, internal text-to-image generative model
  • Read research papers and participate in group discussions
  • Help with collection of relevant visual training data
  • Publish and publicize work via conferences, paper submissions, blog posts
  • Mentor more junior researchers or research interns

Requirements For Sr. Machine Learning Engineer, Computer Vision

Python
  • 5+ years of industry computer vision experience
  • M.S. or PhD in Machine Learning, Computer Science, or related areas
  • Publications at top ML conferences
  • Experience working with generative computer vision models, preferably diffusion models

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