Webflow
Senior Staff Machine Learning Scientist, Assets
NEWš° USD 204,800 - 290,000/yr
Job Description
You'll lead ambitious research initiatives that push the state of the art in computer vision, multimodal understanding, and visual generation. You'll develop novel models, algorithms, and training methodologies for challenging vision problems, and translate cutting-edge research into practical improvements that shape product direction. You'll design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks, partnering closely with applied scientists, ML engineers, and product teams to move research from exploration to production. You'll set technical direction for high-impact research areas, mentor other scientists and engineers, and help build a strong scientific culture while staying at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models.
Requirements
- āBA/BS degree or equivalent experience
- āDeep theoretical and practical expertise in computer vision, with strong foundations in representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training
- āAdvanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred
- ā8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning
- āStrong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models
- āProven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances
- āStrong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code
- āProficiency in modern deep learning frameworks such as PyTorch and TensorFlow
- āDemonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization
- āStrong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences
Responsibilities
- āLead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation
- āDevelop 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
- āTranslate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences
- āDesign, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks
- āPartner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems
- āSet technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI
- āMentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team
- āStay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems
Benefits & Perks
- āEquity (RSUs) in the company
- āComprehensive medical, dental, and vision plans for full-time employees and their dependents, with most premiums covered
- ā12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents
- āInclusive care for family planning, menopause, and midlife transitions
- āFlexible vacation, paid holidays, and a sabbatical program
- āAccess to mental health resources, therapy and coaching
- ā401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally
- āMonthly stipends for work and wellness expenses
- āAnnual WIN bonus program for eligible employees