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.
Captured October 2026Still open as of Oct 11, 2026 ↗
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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