Senior / Staff AI Research Scientist, Foundation Models

What you'll do

• Design and deploy vision-language-action models and generalized robot action policies; develop world models for prediction, planning, and simulation.
• Build multimodal foundation models with spatial reasoning and integrate vision, language, speech, and other data for human-robot communication.
• Optimize and deploy production-grade models on RoboForce robotic 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, including VLMs and VLAs.
• Strong understanding of world model architectures and action-conditioned generative modeling for robot learning; decent understanding of multimodal models and modern ML architectures.

Nice to have

• Experience with video generation or prediction models and their application to world modeling or synthetic data generation.
• Strong publication record at top conferences; neural network deployment, CUDA, or scalable experimentation and data pipeline experience.

Pay

USD 200,000–360,000 base salary

Tools

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

AI focus

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