Location: Remote-first (United States; BC & ON, Canada)
Full-time
Permanent
Exempt
Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location
United States (all figures cited below in USD and pertain to workers in the United States)
Zone A: 232,000 - 290,000
Zone B: 217,600- 272,000
Zone C: 204,800- 256,000
Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter
Application Information
Application deadline: applications accepted on an ongoing basis until position is closed and filled
This posting is for a new position
Reporting to the Director, Engineering
Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation
Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning
Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences
Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks
Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems
Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI
Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team
Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems
Build lasting customer trust. We build trust by taking action that puts customer trust first
Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act
Reinvent ourselves. We don't just improve what exists, we imagine what's possible
Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers