ML Infra Architect: Build Scalable Data & Training Pipelines

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

Job summary

A leading robotics company in San Francisco is looking for an ML Infrastructure Engineer to design and scale foundational systems for their autonomous vehicles. The ideal candidate should have experience in building high-availability web services, working with cloud infrastructure, and developing efficient data collection and training pipelines. Additionally, familiarity with tools like Terraform and Ansible is essential. This is an opportunity to make a significant impact in a fast-paced, innovative environment.

Qualifications

• Experience building and operating high-availability web services on cloud infrastructure.
• Fluent in security fundamentals including Linux hardening and network security.
• Hands-on experience with cluster scheduling systems.

Responsibilities

• Work on data collection infrastructure that moves sensor data into our ML platform.
• Develop batch compute pipelines for curating raw data into training sets.
• Design and scale distributed ML training on GPU clusters.

Skills

Infrastructure-as-code

CI/CD pipelines

Security fundamentals

Cluster scheduling systems

Coding skills

Tools

Terraform

Ansible

Job description

A leading robotics company in San Francisco is looking for an ML Infrastructure Engineer to design and scale foundational systems for their autonomous vehicles. The ideal candidate should have experience in building high-availability web services, working with cloud infrastructure, and developing efficient data collection and training pipelines. Additionally, familiarity with tools like Terraform and Ansible is essential. This is an opportunity to make a significant impact in a fast-paced, innovative environment.