Research Scientist: Human-Centric Visual Intelligence

Actively Hiring

Full-time Posted about 1 month ago

Responsibilities

check_circle Conduct original research, develop novel methods and advance state of the art to enable AI systems to perceive, understand, and reason about human activities, behaviors, interactions, and intentions.
check_circle Investigate multimodal representation learning, alignment, temporal reasoning, and long-horizon understanding of human activities and experiences.
check_circle Develop methods for modeling latent human states, such as intent, goals, beliefs, attention, and other unobservable factors that influence behavior.
check_circle Design and execute rigorous experiments, benchmarking studies, and ablation analyses to validate research hypotheses.
check_circle Contribute to design, collection and annotation of new impactful video datasets.
check_circle Collaborate with interdisciplinary teams of scientists and engineers to translate research advances into impactful AI systems.
check_circle Publish research findings at leading AI, machine learning, and computer vision conferences and journals.
check_circle Contribute to research strategy and intellectual property development.

Ph.D. in Computer Science, Electrical Engineering, Cognitive Science, Computational Neuroscience, or a related field.
Strong publication record at leading AI, machine learning, or computer vision venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, or equivalent.
Expertise in generative models and latent-variable learning, including Variational Autoencoders (VAEs), Diffusion Models, Generative Adversarial Networks (GANs), or related approaches.
Strong foundation in machine learning, deep learning, and modern AI methodologies.
Research experience in video understanding, activity recognition, and temporal modeling.
Expertise in multimodal representation learning and alignment, vision and text encoders, and large-scale video datasets.
Excellent communication, presentation, and collaboration skills.
1 - 3 years of relevant work experience.

Research expertise in long-range action understanding, including action segmentation, temporal alignment, action anticipation and other long-horizon activity modeling.
Experience developing methods for inferring human activities, intentions, or future actions from incomplete, ambiguous, or partially observed data.
Experience with human pose estimation, hand pose estimation, or their application to activity understanding.
Research background of multimodal models, including Vision-Language Models (VLMs), Multimodal Large Language Models (MLLMs), and related architectures.
Understanding of multimodal training methodologies, architectures, adapters, objectives, and data curation strategies.
Experience in modeling latent human states, intentions, goals, beliefs, attention, or other unobservable factors that influence behavior.
Demonstrated ability to initiate and lead impactful research projects.