{"id":2998756,"url":"https://alion.io/job/webflow-senior-staff-machine-learning-scientist-assets-2","title":"Senior Staff Machine Learning Scientist, Assets","company":{"id":1295,"name":"Webflow","domain":"webflow.com","url":"https://alion.io/company/webflow","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":46,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":193000,"max_usd":363000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":174},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Contrastive Learning","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Webflow","optional":false},{"name":"Wi-Fi","optional":false}],"status":"live","first_seen_at":"2026-04-14T19:03:15Z","employer_posted_date":"2026-04-14","last_verified_at":"2026-10-24T01:33:03Z","board_verified":true,"closed_at":null,"days_open":192,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":191},"description":"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.\nWithout ever sacrificing craft or quality 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.\nWe’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.\nAbout the role:\nLocation: Remote-first (United States; BC & ON, Canada)\n\nFull-time\n\nPermanent\n\nExempt\n\nOur 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.\n\nUnited States (all figures cited below in USD and pertain to workers in the United States)\nZone A: 232,000 - 290,000\n\nZone B: 217,600 - 272,000\n\nZone C: 204,800 - 256,000\n\nCanada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)\n253,000 - 316,000\n\nPlease 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.\nApplication Information:\nApplication deadline: applications accepted on an ongoing basis until position is closed and filled\n\nThis posting is for a new position\n\nReporting to the Director, Engineering\n\nAs a Senior Staff Machine Learning Scientist, you’ll:\nLead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.\n\nDevelop 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.\n\nTranslate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.\n\nDesign, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks.\n\nPartner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems.\n\nSet technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI.\n\nMentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team.\n\nStay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems.\n\nAbout you:\nRequirements:\nBA/BS degree or equivalent experience\n\nYou’ll thrive as a Senior Staff Machine Learning Scientist if you:\nDeep 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.\n\nAdvanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred.\n\n8+ 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.\n\nStrong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models.\n\nProven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances.\n\nStrong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.\n\nProficiency in modern deep learning frameworks such as PyTorch and TensorFlow.\n\nDemonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.\n\nStrong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.\n\nStay 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.\n\nOur Core Behaviors\nBuild lasting customer trust. We build trust by taking action that puts customer trust first.\n\nWin together. We play to win, and we win as one team. Success at Webflow isn't a solo act.\n\nReinvent ourselves. We don't just improve what exists, we imagine what's possible.\n\nOwn 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.\n\nBenefits\nOwnership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.\n\nHealth coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.\n\nSupport 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.\n\nTime off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.\n\nWellness for the whole you. Access to mental health resources, therapy and coaching.\n\nInvest 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.\n\nMonthly stipends that flex with your life. Localized support for work and wellness expenses - from Wi-Fi to workouts.\n\nBonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.\n\nTemporary 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.\nBe you, with us\nAt 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.\nStay connected\nNot 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.\nPlease note:\nWe 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 accommodation requests will be administered.\nTo join Webflow, you'll need a valid right to work authorization depending on the country of employment.\nIf 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.\nWebflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. 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