Senior Staff Machine Learning Scientist (Canada)

Senior Staff Machine Learning Scientist (Canada)

23 Oct
|
Webflow
|
Canada

23 Oct

Webflow

Canada

Who you are

- 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

- 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

- Robust 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

What the job involves





- We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors

- 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

Benefits

- Modern & inclusive healthcare coverage

- Retirement saving matches and financial planning

- Flexible paid time off

- Annual retreat and offsites

- WFH Office setup budget

- Health and wellness stipend
- Remote work reimbursements for phone & wifi

- Webflow subscription discount
- Remote-first flexibility

📌 Senior Staff Machine Learning Scientist (Canada)
🏢 Webflow
📍 Canada

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