Senior Staff Machine Learning Scientist, Assets

At Webflow, we’re building the world’s leading AI-native Digital Experience

Platform, and we’re doing it as a remote-first company built on trust,

transparency, and a whole lot of creativity. This work takes grit, because we

move fast, without ever sacrificing craft or quality. Our mission is to bring

development superpowers to everyone. From entrepreneurs launching their first

idea to global enterprises scaling their digital presence, we empower teams to

design, launch, and optimize for the web without barriers. We believe the future

of the web, and work, is more open, more creative, and more equitable. And we’re

here to build it together.

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 [https://webflow.com/careers#pay-zones] 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.
• * Deliver with speed, quality, and craft. We move fast because the moment
• demands it, and we do so without lowering the bar.
• 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
• [https://webflow.com/diversity-equity-inclusion] 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 [https://webflow.com/blog], LinkedIn
• [https://www.linkedin.com/company/webflow-inc-/], X (Twitter)
• [https://twitter.com/webflow], and/or Glassdoor
• [https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm].
• 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
• [https://webflow.com/legal/applicant-privacy-notice].