ML Robotics Systems Engineer for Scalable Robots

Generalist; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Generalist is on a quest to realize general-purpose robotics. The position requires tackling end-to-end problems in AI, enhancing robot functionalities through extensive experience in building distributed applications and data pipelines.

The ideal candidate will design scalable systems, write essential business logic, and utilize modern ML techniques. We seek individuals with cloud infrastructure skills and a comprehensive understanding of Kubernetes. Join us to shape the future of human-robot collaboration.

Qualifications

• Extensive experience building complex distributed applications or data pipelines at scale.
• Experience processing petabytes of data, preferably video data.
• Solid foundation in modern ML techniques.

Responsibilities

• Design and implement new ideas to enhance system robustness and speed.
• Overhaul existing systems to accommodate future scale.
• Write business logic for data access and robot data needs.

Skills

Distributed applications experience

Data pipeline processing

Python expertise

Modern ML fundamentals

Large scale ML training

Cloud infrastructure understanding

Container orchestration (Kubernetes)

Job description

Generalist is on a quest to realize general-purpose robotics. The position requires tackling end-to-end problems in AI, enhancing robot functionalities through extensive experience in building distributed applications and data pipelines.

The ideal candidate will design scalable systems, write essential business logic, and utilize modern ML techniques. We seek individuals with cloud infrastructure skills and a comprehensive understanding of Kubernetes. Join us to shape the future of human-robot collaboration.