AI Research Scientist

What you'll do

• Design and deploy VLM/VLA models and generalized robot action policies; develop world models for prediction, planning, and simulation.
• Research multimodal inputs and spatial reasoning to improve model fidelity and robotic precision.
• Integrate multimodal data and optimize models for production deployment on RoboForce platforms.

What they ask for

• PhD in Machine Learning, Robotics, or a related field, or a Master's degree with 4+ years of relevant experience.
• Proficiency in Python and deep learning frameworks such as PyTorch or JAX.
• Expertise in large foundation models and strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
• Understanding of multimodal models and modern ML architectures, such as transformers and diffusion models; able to collaborate in-office 5 days per week.

Nice to have

• Experience with video generation or prediction models for world modeling or synthetic data generation.
• Publication record at top conferences, expertise in neural network deployment or CUDA, or experience designing scalable experimentation and data pipelines.

Tools

Python, PyTorch, JAX, VLM, VLA, transformers, diffusion models, TensorRT

AI focus

Robotic embodied intelligence, including foundation models, vision-language-action systems, world models, spatial reasoning, multimodal human-robot communication, and robot learning.