Machine Learning: Multimodal Foundation Models

What you'll do

• Develop unified multimodal policy architectures and improve cross-modal reasoning.
• Design, run, debug, and iterate on large-scale training experiments, data mixtures, and evaluations.
• Integrate models into robotic systems and optimize them for edge inference.

What they ask for

• Very strong coding skills in Python, C++, or Rust.
• Track record of training and deploying large-scale multimodal models.
• Deep intuition for LLM-style pretraining, post-training, and Reinforcement Learning at scale.
• Comfort managing and optimizing large-scale experiments on massive GPU clusters.

Pay

$200K – $350K (USD, base salary)

Tools

Python, C++, Rust, GPU clusters

AI focus

Research, train, and deploy multimodal foundation models and robotic policies, with cross-modal reasoning and large-scale pretraining, post-training, and reinforcement learning.