Job Details

Overview

Senior Machine Learning Infrastructure Engineer

$215,000 pa

Hybrid – Bay Area

Responsibilities

• Build, scale, and refine the core systems powering advanced AI from robotics perception and real-time video analytics to LLM/LVM services.
• Collaborate across disciplines to enable fast experimentation, robust production deployments, and measurable performance gains.
• Design and scale the infrastructure behind advanced AI systems, working closely with researchers and engineers.

Key Skills / Qualifications

• Strong programming skills in Python (C++ a plus) and robust software engineering practices
• Experience with distributed training systems and scaling ML workflows
• Proven track record building end-to-end ML systems, from data pipelines to deployment
• Hands-on experience with cloud platforms, Docker, and Kubernetes
• Familiarity with infrastructure-as-code (Terraform, AWS CDK) and build systems like Bazel
• Experience deploying ML models in production (APIs, batch, streaming)
• Ability to work on hybrid deployments and edge/cloud architectures, especially in robotics or real-time contexts

Take the next step in your career and apply today!

5V Tech are acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK, and North America.