Senior Staff Machine Learning Scientist, Assets

Skills

About the Role

You'll lead ambitious research initiatives that push the state of the art in computer vision, multimodal understanding, and visual generation. You'll develop novel models, algorithms, and training methodologies for challenging vision problems, and translate cutting-edge research into practical improvements that shape product direction. You'll design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks, partnering closely with applied scientists, ML engineers, and product teams to move research from exploration to production. You'll set technical direction for high-impact research areas, mentor other scientists and engineers, and help build a strong scientific culture while staying at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models.

Requirements

• BA/BS degree or equivalent experience
• Deep theoretical and practical expertise in computer vision, with strong foundations in 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

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
• 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

• Equity (RSUs) in the company
• Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with most premiums covered
• 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents
• Inclusive care for family planning, menopause, and midlife transitions
• Flexible vacation, paid holidays, and a sabbatical program
• Access to mental health resources, therapy and coaching
• 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally
• Monthly stipends for work and wellness expenses
• Annual WIN bonus program for eligible employees