Research Scientist: Human-Centric Visual Intelligence ...

Key Responsibilities

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

Minimum Qualifications

• 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.