Robotics ML Infrastructure Lead

Airtable; Palo Alto (CA); Hybrid; USD 120,000 - 300,000; Full time

Job summary

Mundane is a venture-backed seed-stage robotics startup in Palo Alto seeking engineers to build learning systems for humanoid robots. You will develop data pipelines, train and deploy ML models, and push the frontier of embodied intelligence using real-world experience.

Work in a fast-paced team of researchers and engineers; roles involve direct ownership of learning systems powering robots in customer environments. This is a high-impact position offering equity in a seed-stage company.

Qualifications

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).
• Hands-on experience with robotic software stacks (ROS2, real-time control, perception pipelines).
• Background in reinforcement learning, imitation learning, or embodied AI.

Responsibilities

• Design and implement ML algorithms for robot perception, control, and decision-making.
• Build and maintain data pipelines for large-scale collection, labeling, and training from robots in the field.
• Develop real-time inference systems that integrate with the robotics stack.
• Collaborate with controls, perception, and embedded teams to deliver end-to-end autonomy.
• Optimize models for reliability, latency, and performance on hardware-constrained platforms.
• Push forward new approaches in robot learning (imitation learning, RL, foundation models for robotics).

Skills

Python

ML frameworks

PyTorch

TensorFlow

JAX

ROS2

reinforcement learning

imitation learning

embodied AI

real-world deployment

Tools

ROS2

Real-time control

Perception pipelines

Job description

Mundane is a venture-backed seed-stage robotics startup in Palo Alto seeking engineers to build learning systems for humanoid robots. You will develop data pipelines, train and deploy ML models, and push the frontier of embodied intelligence using real-world experience.

Work in a fast-paced team of researchers and engineers; roles involve direct ownership of learning systems powering robots in customer environments. This is a high-impact position offering equity in a seed-stage company.