Robotics ML Systems Engineer: Scalable Platform & GPUs

Scale AI; San Francisco (CA); On-site; USD 218,400 - 273,000; Full time

Benefits offered by this job

Comprehensive health coverage

Retirement benefits

Learning and development stipend

Generous PTO

Job summary

A leading AI technology firm in San Francisco is seeking an ML Systems Engineer to design and build scalable systems for serving models used in robotics and autonomous vehicles. The ideal candidate will have 4+ years of experience in backend systems and deep expertise in machine learning, as well as strong programming skills in languages like Python or C++. This role offers a competitive salary range of $218,400 — $273,000 annually, with comprehensive benefits.

Qualifications

• 4+ years of experience building large-scale high-performance backend systems.
• Deep experience optimizing ML algorithms for cloud environments.
• Strong skills in programming languages such as Python, Go, Rust, or C++.

Responsibilities

• Maintain fault-tolerant, high-performance systems for serving models.
• Build an internal platform for model capability discovery.
• Collaborate with Robotics researchers and Computer Vision engineers.
• Conduct architecture and design reviews.
• Develop monitoring solutions for system health.
• Own projects end-to-end from requirements gathering to implementation.

Skills

Machine Learning fundamentals

Backend system design

Algorithm optimization

Systems-level programming

Problem solving

Tools

Docker

Kubernetes

AWS

GCP

Job description

A leading AI technology firm in San Francisco is seeking an ML Systems Engineer to design and build scalable systems for serving models used in robotics and autonomous vehicles. The ideal candidate will have 4+ years of experience in backend systems and deep expertise in machine learning, as well as strong programming skills in languages like Python or C++. This role offers a competitive salary range of $218,400 — $273,000 annually, with comprehensive benefits.