Systems Engineer - Machine Learning

About the Company

General Robotics is an AI research and deployment company building a platform for general robot intelligence. Our mission is to enable rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics.

Responsibilities

• Integrate and productionize state-of-the-art ML models into serving infrastructure
• Collaborate with research teams to bring new architectures from prototype to deployment
• Contribute to infrastructure tooling for faster and more reliable model onboarding
• Develop and maintain low-latency, high-throughput pipelines for ML model inference
• Optimize GPU workloads and accelerate ML frameworks for real-time performance

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience
• 1+ years of experience in ML infrastructure, model serving, or backend systems engineering
• Strong Python skills with ability to turn research code into production services
• Familiarity with ML frameworks such as PyTorch or JAX
• Experience with containerized deployments using Docker or Kubernetes
• Familiarity with distributed serving frameworks like Ray or Triton
• Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code