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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 19 days 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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