Lead Multimodal ML for Robotic Systems (Edge AI)

Pantera Capital; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

The Bot Company in San Francisco is seeking an ML engineer to work on multimodal foundation models and own the stack from data to deployment. You will develop systems that enable unified representations across text, image, video, and kinematics for robotic policies.

You will build scalable architectures, improve cross-modal reasoning, and ship real-world systems with edge inference in a small, fast-paced team.

Qualifications

• Strong coding skills in Python, C++, or Rust.
• Experience training and deploying large-scale multimodal models.
• Experience with massive GPU clusters and distributed training.

Responsibilities

• Build Native Multimodal Policies: Develop architectures where vision, language, and more modalities share a unified representation.
• Improve Cross-Modal Reasoning: Research methods to ensure the model reasons across modalities, not just associates them.
• Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments.
• Ship and Iterate on Real Systems: Integrate models into robotic stacks and optimize for edge inference.

Skills

Python

C++

Rust

MLLM Experience

Job description

The Bot Company in San Francisco is seeking an ML engineer to work on multimodal foundation models and own the stack from data to deployment. You will develop systems that enable unified representations across text, image, video, and kinematics for robotic policies.

You will build scalable architectures, improve cross-modal reasoning, and ship real-world systems with edge inference in a small, fast-paced team.