ML Robotics Systems Engineer - Build Scalable AI Pipelines

Generalist AI; San Mateo, Somerville (CA, MA); On-site; USD 170,000 - 250,000; Full time

Job summary

Generalist AI in San Mateo, CA is seeking an experienced engineer to tackle end-to-end problems that make our AI models work better on robots. You will string together distributed Python services, upgrade data pipelines, train models to validate changes, and test in real-world robotic deployments.

The role requires building robust, scalable software and managing cloud infrastructure to process large data at scale. You will work across video data pipelines and a modern ML stack.

Qualifications

• Experience building large-scale distributed applications.
• Experience processing big data (bonus for video data).
• Strong proficiency in Python and modern ML fundamentals.
• Experience with distributed cloud infrastructure and container orchestration.

Responsibilities

• Design and implement new ideas to improve system robustness, scalability, or speed.
• Overhaul existing systems to handle 10x scale.
• Write business logic to provide data access to robots and customers.

Skills

Distributed systems

Python

ML training & deployment

Data pipelines

Cloud infrastructure

Tools

Kubernetes

Docker

AWS/GCP

Spark

Job description

Generalist AI in San Mateo, CA is seeking an experienced engineer to tackle end-to-end problems that make our AI models work better on robots. You will string together distributed Python services, upgrade data pipelines, train models to validate changes, and test in real-world robotic deployments.

The role requires building robust, scalable software and managing cloud infrastructure to process large data at scale. You will work across video data pipelines and a modern ML stack.