Senior Staff Machine Learning Scientist - Assets
New
W
WebflowMarketing Software
Remote-first (United States; BC & ON, Canada)Full-TimeSenior
Salary204,800 - 290,000 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonMachine LearningPyTorchTensorflowComputer Vision
Requirements
- 8+ years of relevant industry and/or research experience, or equivalent impact.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field (PhD strongly preferred).
- Deep theoretical and practical expertise in computer vision, specifically in representation learning, visual recognition, image/video generation, and multimodal learning.
- Strong experience with transformers, diffusion models, contrastive learning approaches, and foundation models.
- Proven ability to formulate research problems, design rigorous experiments, and translate findings into production advances.
- Strong coding skills in Python, including writing clean and scalable research code.
- Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.
- Demonstrated technical leadership and mentoring experience.
- Strong communication skills for presenting research to technical and cross-functional audiences.
Responsibilities
- 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.
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