About The Position

In this role, you'll push the frontier of visual generative models. You’ll work on large-scale pre-training for our text-to-image foundation models, shaping objectives, algorithms, data, and systems, and turn novel ideas into models that power products used by millions of users. You'll work with a creative and ambitious team of researchers and engineers who are building the future of the creative economy.

Requirements

  • PhD or Master’s degree in Computer Science or equivalent industry experience.
  • 5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use.
  • Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP).
  • Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch).
  • Experience communicating complex research to peers.
  • Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems.

Responsibilities

  • Work on large-scale pre-training for text-to-image foundation models.
  • Shape objectives, algorithms, data, and systems for pre-training.
  • Turn novel ideas into models that power products used by millions of users.
  • Collaborate with a creative and ambitious team of researchers and engineers.

Benefits

  • Competitive compensation and equity
  • 4 weeks of vacation
  • Comprehensive health, vision, and dental coverage
  • RRSP/401(k) with employer match up to 4%
  • Top-of-the-line tools and tech
  • Daily in-office lunches and dinners
  • Autonomy to explore and experiment
  • Access to compute/resources for new ideas and experiments
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