WE

Senior Staff Machine Learning Scientist, Assets

webflow· 22 open roles

Remote RemoteFull-time2 weeks ago
Salary
$204,800 - $316,000
Experience
Mid
Job Type
Full-time
Posted
2 weeks ago
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About This Role

Webflow is seeking a Senior Staff Machine Learning Scientist to drive ambitious research initiatives in computer vision, multimodal understanding, and visual generation. The ideal candidate will lead research, develop novel models, and translate cutting-edge research into practical model improvements. This role requires a strong foundation in computer vision, machine learning, and software development. The Senior Staff Machine Learning Scientist will partner with cross-functional teams to move research from exploration to production-ready systems and mentor other scientists and engineers.

Key ResponsibilitiesAI-extracted

  • 1
    Lead and drive ambitious research initiatives in computer vision, multimodal understanding, and visual generation
  • 2
    Develop novel models, algorithms, and training methodologies for challenging vision problems
  • 3
    Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences
  • 4
    Design, implement, train, and optimize large-scale vision and multimodal foundation models
  • 5
    Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems
  • 6
    Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team

RequirementsAI-extracted

  • BA/BS degree or equivalent experience in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field
  • Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred
  • 8+ 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
  • Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models
  • Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances

Perks & BenefitsAI-extracted

Ownership in what you help build through equity (RSUs) in the company
Comprehensive medical, dental, and vision plans for full-time employees and their dependents
Support for every stage of family life, including 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents
Typically: Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired
Typically: Access to mental health resources, therapy, and coaching

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