Webflow

Senior Staff Machine Learning Scientist, Assets

Senior research scientist leading vision and multimodal foundation model work, turning frontier ideas into production features for a remote-first web platform team.

The role

This senior individual-contributor scientist works within the engineering organization and reports to a director. The position centers on advancing vision and multimodal models, moving promising research into shipped product while shaping the team's technical direction.

What you would do

  • Drive ambitious research agendas in visual understanding, multimodal reasoning, and image or video synthesis
  • Invent new model architectures, learning algorithms, and training recipes for hard perception problems
  • Convert recent academic advances into concrete model gains that influence product roadmap
  • Build and train large vision and multimodal foundation models on varied data at scale
  • Work alongside scientists, engineers, and product partners to take prototypes into production
  • Establish technical priorities and identify high-upside research bets for the org
  • Coach other researchers and engineers and raise the bar for scientific rigor
  • Keep pace with generative modeling and foundation model developments and apply them pragmatically

What they asked for

  • Bachelor's degree or equivalent hands-on experience
  • Deep grounding in computer vision, including representation learning, recognition, and generative imaging or video
  • Advanced degree in a quantitative discipline, with a PhD strongly favored
  • Eight or more years of industry or research work with a record of leading major vision or multimodal efforts
  • Working fluency with transformers, diffusion models, contrastive methods, and foundation model designs
  • Ability to frame open-ended research questions, run rigorous experiments, and convert results into product-level improvements
  • Strong Python skills and ability to write maintainable research code
  • Hands-on proficiency with mainstream deep learning frameworks
  • Track record of mentoring and steering direction across a team
  • Clear written and verbal communication for technical and non-technical audiences
  • Proactive willingness to adopt and apply emerging AI tools to speed up team work
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