About the job
We are looking for a Principal Applied Scientist to drive technical innovation in visual reasoning systems across multiple domains. You will be a technical leader who sets the research direction, architects novel solutions, and delivers breakthrough results that advance the state of the art while solving real-world business problems.
Responsibilities
Direct the technical vision for next-gen visual reasoning, pioneering the use of LVMs to solve high-dimensional spatial-temporal problems
Designing and implementing novel algorithms that push the boundaries of what's possible with generative AI
Architecting scalable solutions that deliver real-time insights across diverse environments
Building agentic AI systems that autonomously execute end-to-end workflows, transforming visual data into actionable business intelligence
Leading cross-functional collaboration to translate research breakthroughs into production systems
Publishing research at top-tier conferences (CVPR, NeurIPS, ICML) and establishing technical thought leadership in visual reasoning and multi-modal AI
Mentoring scientists and engineers to elevate technical excellence across the organization
Influencing product roadmaps through deep technical expertise and business acumen
Qualifications
Minimum
PhD in computer science, machine learning, engineering, or related fields
8+ years of applied research experience
Strong publication record in top-tier conferences/journals (CVPR, NeurIPS, ICML, ICCV, ECCV, etc.)
Deep expertise in architecting and training frontier Vision-Language Models (VLMs) or Large Video Models (LVMs), with proven ability to design novel algorithms that advance the state of the art in spatiotemporal understanding
Experience translating research into production systems at scale
Excellent programming skills in Python and deep learning frameworks (PyTorch, TensorFlow)
Preferred
Deep expertise in World Models, Neural Radiance Fields (NeRFs/Gaussian Splatting), and long-horizon spatiotemporal reasoning
Demonstrated leadership in building and scaling agentic AI applications in production
A history of building and scaling world-class teams and mentoring senior ICs to achieve career breakthroughs