Real-Time ML Systems Engineer: Robotics Platform

general robotics corporation; Redmond (WA); On-site; USD 155,000 - 200,000; Full time

Job summary

General Robotics in Redmond, WA seeks an ML Engineer to join our AI platform team. You will productionize state-of-the-art ML models for real-time robot inference, build low-latency pipelines, and optimize GPU workloads for robotics workloads. Strong Python, ML infra experience and cloud familiarity required; apply your research code to production.

We offer the chance to work across platform infrastructure, ML systems, and edge deployment teams in a fast-growing robotics AI company.

Qualifications

• 1+ years of experience in ML infrastructure, model serving, or backend systems engineering.
• Strong Python proficiency and ability to translate research code into production services.
• Familiarity with ML frameworks (PyTorch, JAX) and containerized deployments (Docker, Kubernetes).
• Experience with distributed serving frameworks (Ray, Triton) and real-time streaming is a plus.

Responsibilities

• Integrate and productionize state-of-the-art ML models into serving infrastructure with research teams.
• Develop and maintain low-latency, high-throughput ML inference pipelines for robotics workloads.
• Optimize GPU workloads and accelerate ML frameworks for real-time performance.

Skills

Python

ML infrastructure

Backend systems

Async Python

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Ray

Triton

PyTorch

JAX

Job description

General Robotics in Redmond, WA seeks an ML Engineer to join our AI platform team. You will productionize state-of-the-art ML models for real-time robot inference, build low-latency pipelines, and optimize GPU workloads for robotics workloads. Strong Python, ML infra experience and cloud familiarity required; apply your research code to production.

We offer the chance to work across platform infrastructure, ML systems, and edge deployment teams in a fast-growing robotics AI company.