Research Scientist Intern, Multimodal Generative AI and Robotics (PhD)

What you'll do

• Plan and execute research and development in machine learning and large-scale training.
• Collaborate with researchers and engineers to develop experiments, prototypes, and concepts for contextual AI and robotic systems.
• Design, set up, and run experiments and prototype systems for sensing and machine reasoning.

What they ask for

• Currently pursuing or have a PhD in computer vision, computer graphics, 3D machine perception, deep learning, or a related field.
• Knowledge of deep learning, computer vision, graphics, generative modeling, LLMs, and VLMs; hands-on experience implementing deep learning algorithms and large-scale training, benchmarking, and evaluation.
• Experience with Python and PyTorch, and a Unix environment.
• Must obtain and maintain work authorization in the country of employment; intend to return to a degree program after the internship.

Nice to have

• Strong research record, including significant results such as grants, fellowships, patents, or first-authored publications at top-tier conferences.
• Software engineering experience through an internship, work experience, coding competitions, or widely used open-source contributions; cross-functional teamwork experience.

Pay

USD $7,650/month to $12,667/month (base salary)

Tools

Python, Pytorch, Unix, LLMs, VLMs

AI focus

Research and develop multimodal generative AI, predictive models integrating language, vision, human motion, and actions, physically grounded generation, world modeling, video generation, vision–language–action models, and embodied AI for robot learning and control.