Senior Staff Machine Learning Scientist, Assets

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.

We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact.

About the role:

• 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)
  • 253,000 - 316,000

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 

As a Senior Staff Machine Learning Scientist, you’ll: 

• 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.

About you:

Requirements:

• BA/BS degree or equivalent experience

You’ll thrive as a Senior Staff Machine Learning Scientist if you:

• Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training.
• 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.
• Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.
• Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.
• Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.
• Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.
• Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

Our Core Behaviors:

• 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.

Benefits

• Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
• Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
• Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
• Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
• Wellness for the whole you. Access to mental health resources, therapy and coaching.
• Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. 
• Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
• Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice.