companyGeneral Robotics logo

Machine Learning Systems Engineer

General RoboticsRedmond, WA
On-site Full-time $155K/yr - $200K/yr

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Experience

Qualifications

ResponsibilitiesIntegrate and productionize cutting-edge ML models into our serving infrastructure, collaborating closely with research teams to transition new architectures from prototype to deployment. Enhance infrastructure tools to streamline the onboarding of new models. Develop and maintain efficient, low-latency, high-throughput pipelines for ML model inference tailored to robotics workloads. Optimize GPU workloads and accelerate ML frameworks for real-time performance, focusing on data transfer, memory management, batching, serialization, and concurrent request handling. QualificationsBachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. A minimum of 1 year of experience in ML infrastructure, model serving, or backend systems engineering. Proficient in Python, with the ability to navigate unfamiliar research codebases and develop clean, production-ready services. Familiarity with ML frameworks (e.g., PyTorch, JAX), containerized deployments (e.g., Docker, Kubernetes), and distributed serving frameworks (e.g., Ray, Triton). Knowledge of async Python, real-time communication protocols, and robotics systems is advantageous. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools is beneficial.

About the job

General Robotics is at the forefront of AI research and deployment, dedicated to constructing a platform for general robot intelligence. Our mission is to facilitate the swift, reliable, and secure implementation of general intelligence for autonomous systems and robotics. We aim to be the foundational platform for AI-driven autonomous systems across a broad spectrum of applications.

Position Overview

We are looking for a passionate Machine Learning Engineer to join our innovative team in Redmond, WA. Our focus is on developing and refining the infrastructure that delivers ML models to robots in real-time. This includes areas such as perception, planning, and foundational models, all with an emphasis on low latency, high throughput, and resilient robot-to-cloud communications.

Ideal candidates will possess a robust background in ML infrastructure and model serving. Experience in CUDA kernel programming, distributed serving frameworks, and transforming research models into production-ready solutions is essential. Your application will be considered for various teams including platform infrastructure, ML systems, and edge deployment.

About General Robotics

General Robotics is a pioneering company in AI research and deployment, dedicated to building a comprehensive platform for general robot intelligence. Our goal is to empower the seamless and safe implementation of autonomous systems across various applications, establishing ourselves as the leading provider of AI-driven solutions.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.