Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy
Core
Lead applied research to improve multi-model perception and reasoning abilities of AI agents using large vision language models (VLMs), reinforcement learning, and world modeling.
Role type
Senior IC applied research scientist (multimodal reasoning)
Builds
Useful enterprise AI agents with perception, reasoning, and planning capabilities
Domain
Artificial Intelligence / Machine Learning / Multimodal Systems
Deliverable
production ML models
Required skills
Machine learning model development, dataset design, pre- and post-training optimization, deep learning methods, Python, Java, C++, PyTorch, JAX
Preferred skills
Scientific research background, post-training of large Vision Language Models, experimental design, technical communication, strategic long-term planning, mentoring
Technologies
VLMs, Reinforcement Learning, World Modeling, PyTorch, JAX
Responsibilities
Lead efforts to improve multi-model perception and reasoning abilities, design and execute experiments, interpret results, mentor junior scientists and engineers
Seniority
Senior, hands-on IC
